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Books

Book Series | Collections | Analytics | Semantic Analytics | Agents et al | R | C++ | .Net | Python | Scala | Java | Statistics | Aggregation | Causal Inference | Decision Making | Mathematics | Visualization | Miscellaneous | Data Management | Internet of Things | BI
|Books| = 1317

Book Series

“Data and Analytics Series”
Addison-Wesley

Publisher
“R – Programming”
O’Reilly Media

Publisher
“Statistics”
Springer

Publisher
“The R Series”
Chapman & Hall/CRC

Publisher

Collections

“Amazon Best Sellers in AI & Machine Learning”


Publisher
“Amazon Best Sellers in Data Mining”


Publisher
“Data Science Books (datascience@berkeley)”


Publisher
“Dataviz Books”
(Civil Statistician )

Publisher
“Library of Peter Norvig”


Publisher
“Must Read Books in Analytics / Data Science”
Infographic

Publisher
“R-Project: Books related to R”


Publisher

Analytics

“A / B Testing”
The Most Powerful Way to Turn Clicks Into Customers

Publisher / Amazon
2013
“A Beginners Guide for Machine Learning”


Publisher / Amazon
2018
“A Distributed Linear Programming Models in a Smart Grid”


Publisher / Amazon
2017
“A First Course in Machine Learning”
Second Edition

Publisher / Amazon
2016
“A Practical Guide to Analytics for Governments”
Using Big Data for Good

Publisher / Amazon
2017
“A Primer on Process Mining”
Practical Skills with Python and Graphviz

Publisher / Amazon
2017
“A User’s Guide to Business Analytics”


Publisher / Amazon
2016
“A User’s Guide to Network Analysis in R”


Publisher / Amazon
2015
“Adaptation and Hybridization in Computational Intelligence”
(Adaptation, Learning, and Optimization)

Publisher / Amazon
2015
“Adaptive Regression for Modeling Nonlinear Relationships”


Publisher / Amazon
2016
“Adaptive Stochastic Optimization Techniques with Applications”


Publisher / Amazon
2015
“Advanced Analysis of Variance”


Publisher / Amazon
2017
“Advanced Analytics with Spark”


Publisher / Amazon
2015
“Advanced Business Analytics”
Essentials for Developing a Competitive Advantage

Publisher / Amazon
2016
“Advanced Customer Analytics”
Targeting, Valuing, Segmenting and Loyalty Techniques

Publisher / Amazon
2016
“Advanced Data Analysis in Neuroscience”
Integrating Statistical and Computational Models

Publisher / Amazon
2017
“Advanced Data Analytics in Health”


Publisher / Amazon
2018
“Advanced Data Analytics Using Python”
With Machine Learning, Deep Learning and NLP Examples

Publisher / Amazon
2018
“Advanced Optimization by Nature-Inspired Algorithms”


Publisher / Amazon
2018
“Advanced Planning and Scheduling in Manufacturing and Supply Chains”


Publisher / Amazon
2016
“Advanced R”
Data Programming and the Cloud

Publisher / Amazon
2016
“Advanced Statistical Methods in Data Science”


Publisher / Amazon
2016
“Advanced Statistics for the Behavioral Sciences”
A Computational Approach with R

Publisher / Amazon
2018
“Advances in Chaos Theory and Intelligent Control”


Publisher / Amazon
2016
“Advances in DEA Theory and Applications”
With Extensions to Forecasting Models

Publisher / Amazon
2017
“Advances in Financial Machine Learning”


Publisher / Amazon
2018
“Advances in Hybridization of Intelligent Methods”
Models, Systems and Applications

Publisher / Amazon
2018
“Advances in Metaheuristics Algorithms”
Methods and Applications

Publisher / Amazon
2018
“Advances in Neural Networks”
Computational Intelligence for ICT

Publisher / Amazon
2016
“Algorithm Engineering”
Selected Results and Surveys

Publisher / Amazon
2016
“Algorithmische Graphentheorie”


Publisher / Amazon
2015
“Algorithms and Programs of Dynamic Mixture Estimation”
Unified Approach to Different Types of Components

Publisher / Amazon
2017
“Algorithms for Data Science”


Publisher / Amazon
2016
“Algorithms for Next-Generation Sequencing Data”
Techniques, Approaches, and Applications

Publisher / Amazon
2017
“Aligning Business Strategies and Analytics”
Bridging Between Theory and Practice

Publisher / Amazon
2019
“An Economic Interpretation of Linear Programming”


Publisher / Amazon
2015
“An Introduction to Fuzzy Linear Programming Problems”
Theory, Methods and Applications

Publisher / Amazon
2016
“An Introduction to Machine Learning”


Publisher / Amazon
2015
“An Introduction to Modeling Neuronal Dynamics”


Publisher / Amazon
2017
“An Introduction to Statistical Learning”
with Applications in R

Publisher / Amazon
2013
“An Introduction to Statistics with Python”
With Applications in the Life Sciences

Publisher / Amazon
2016
“Analyse des Anbieterwechsels mit Hidden-Markov-Modellen”
Empirische Untersuchung im Retail Banking

Publisher / Amazon
2015
“Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms”


Publisher / Amazon
2018
“Analysis and Design of Markov Jump Systems with Complex Transition Probabilities”


Publisher / Amazon
2016
“Analysis and Presentation of Experimental Results”
With Examples, Problems and Programs

Publisher / Amazon
2017
“Analysis of Large and Complex Data”
Studies in Classification, Data Analysis, and Knowledge Organization

Publisher / Amazon
2016
“Analysis of Repeated Measures Data”


Publisher / Amazon
2017
“Analysis of Step-Stress Models”
Existing Results and Some Recent Developments

Publisher / Amazon
2017
“Analysis of Survival Data with Dependent Censoring”
Copula-Based Approaches

Publisher / Amazon
2018
“Analytical Methods for Dynamic Modelers”


Publisher / Amazon
2015
“Analytics for Insurance”
The Real Business of Big Data

Publisher / Amazon
2016
“Analytics for Smart Energy Management”
Tools and Applications for Sustainable Manufacturing

Publisher / Amazon
2016
“Analytics for the Internet of Things”
Application of Analytics to IoT devices

Publisher / Amazon
2016
“Analytics in a Big Data World”
Essential Guide to Data Science and its Applications

Publisher / Amazon
2014
“Analytics in Smart Tourism Design”
Concepts and Methods

Publisher / Amazon
2016
“Analyzing Time Interval Data”
Introducing an Information System for Time Interval Data Analysis

Publisher / Amazon
2016
“Angewandte Zeitreihenanalyse mit R”


Publisher / Amazon
2012
“Anomaly Detection Principles and Algorithms”


Publisher / Amazon
2017
“Application of Machine Learning- Classification of Students”


Publisher / Amazon
2018
“Applications of Artificial Intelligence Techniques in Industry 4.0”


Publisher / Amazon
2019
“Applications of Big Data Analytics”
Trends, Issues, and Challenges

Publisher / Amazon
2018
“Applied Analytics through Case Studies Using SAS and R”
Implementing Predictive Models and Machine Learning Techniques

Publisher / Amazon
2018
“Applied Fourier Analysis”
From Signal Processing to Medical Imaging

Publisher / Amazon
2017
“Applied Multivariate Statistical Analysis”


Publisher / Amazon
2015
“Applied Predictive Analytics”
Principles and Techniques for the Professional Data Analyst

Publisher / Amazon
2014
“Applied Predictive Modeling”
Fundamental Concepts and Algorithms

Publisher / Amazon
2013
“Applied Probabilistic Calculus for Financial Engineering”
An Introduction Using R

Publisher / Amazon
2018
“Applied Probability”
From Random Sequences to Stochastic Processes

Publisher / Amazon
2018
“Applied Regression Analysis for Business”
Tools, Traps and Applications

Publisher / Amazon
2018
“Applied Surrogate Endpoint Evaluation Methods with SAS and R”


Publisher / Amazon
2016
“Applied Survival Analysis Using R”


Publisher / Amazon
2016
“Applied Time Series Analysis with R”


Publisher / Amazon
2016
“Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings”


Publisher / Amazon
2019
“Artificial Adaptive Systems using Auto Contractive Maps”
Theory, Applications and Extensions

Publisher / Amazon
2018
“Artificial Intelligence and Exponential Technologies”
Business Models Evolution and New Investment Opportunities

Publisher / Amazon
2017
“Artificial Intelligence and Games”


Publisher / Amazon
2018
“Artificial Intelligence and Natural Language Processing”


Publisher / Amazon
2018
“Artificial Intelligence for .NET”
Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs

Publisher / Amazon
2017
“Artificial Intelligence for Business”


Publisher / Amazon
2019
“Artificial Intelligence for Fashion Industry in the Big Data Era”


Publisher / Amazon
2018
“Artificial Intelligence for Marketing”
Practical Applications

Publisher / Amazon
2017
“Artificial Intelligence in Financial Markets”
Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics

Publisher / Amazon
2016
“Artificial Intelligence Marketing and Predicting Consumer Choice”
An Overview of Tools and Techniques

Publisher / Amazon
“Artificial Intelligence Tools”
Decision Support Systems in Condition Monitoring and Diagnosis

Publisher / Amazon
2015
“Artificial Intelligence with Python”
A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Publisher / Amazon
2018
“Artificial Neural Network Applications for Software Reliability Prediction”


Publisher / Amazon
2017
“Artificial Neural Network Modelling”


Publisher / Amazon
2016
“Artificial Neural Networks”
A Practical Course

Publisher / Amazon
2016
“Asymmetric Kernel Smoothing”
Theory and Applications in Economics and Finance

Publisher / Amazon
2018
“Asymptotic Change-Point Analysis of the Dependencies in Time Series”


Publisher / Amazon
2016
“Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning”


Publisher
2018
“Automated Trading with R”
Quantitative Research and Platform Development

Publisher / Amazon
2016
“Automatic Design of Decision-Tree Induction Algorithms”


Publisher / Amazon
2015
“Automatic Tuning of Compilers Using Machine Learning”


Publisher / Amazon
2018
“Autonomic Classification of IP Traffic in an NFV-based Network”
Using Supervised Machine Learning Algorithms

Publisher / Amazon
2018
“Basic Experimental Strategies and Data Analysis for Science and Engineering”


Publisher / Amazon
2016
“Bayesian Cost-Effectiveness Analysis with the R package BCEA”


Publisher / Amazon
2017
“Bayesian Data Analysis”


Publisher / Amazon
2013
“Bayesian Nonparametric Data Analysis”


Publisher / Amazon
2015
“Bayesian Reinforcement Learning”
A Survey

Publisher
2015
“Beautiful Data”
The Stories Behind Elegant Data Solutions

Publisher / Amazon
2009
“Beginning Artificial Intelligence with the Raspberry Pi”


Publisher / Amazon
2017
“Beginning Data Science in R”
Data Analysis, Visualization, and Modelling for the Data Scientist

Publisher / Amazon
2017
“Behavioral Operational Research”
Theory, Methodology and Practice

Publisher / Amazon
2016
“Behavioural Models”
From Modelling Finite Automata to Analysing Business Processes

Publisher / Amazon
2016
“BERRU Predictive Modeling”
Best Estimate Results with Reduced Uncertainties

Publisher / Amazon
2019
“Beyond Basic Statistics”
Tips, Tricks, and Techniques Every Data Analyst Should Know

Publisher / Amazon
2015
“Big and Complex Data Analysis”
Methodologies and Applications

Publisher / Amazon
2016
“Big Data”
A Business and Legal Guide

Publisher / Amazon
2014
“Big Data Analysis”
New Algorithms for a New Society

Publisher / Amazon
2016
“Big Data Analytics”
Methods and Applications

Publisher / Amazon
2016
“Big Data Analytics”
A Management Perspective

Publisher / Amazon
2016
“Big Data Analytics”
Handbook of Statistics

Publisher / Amazon
2015
“Big Data Analytics in Genomics”


Publisher / Amazon
2016
“Big Data Analytics with Spark”
A Practitioner’s Guide to Using Spark for Large Scale Data Analysis

Publisher / Amazon
2015
“Big Data and Analytics”
Strategic and Organizational Impacts

Publisher / Amazon
2015
“Big Data and Differential Privacy”
Analysis Strategies for Railway Track Engineering

Publisher / Amazon
2017
“Big Data and Learning Analytics in Higher Education”
Current Theory and Practice

Publisher / Amazon
2016
“Big Data and Social Science”
A Practical Guide to Methods and Tools

Publisher / Amazon
2016
“Big Data Concepts, Theories, and Applications”


Publisher / Amazon
2016
“Big Data Factories”
Collaborative Approaches

Publisher / Amazon
2017
“Big Data for Remote Sensing: Visualization, Analysis and Interpretation”
Digital Earth and Smart Earth

Publisher / Amazon
2019
“Big Data in Healthcare”
Extracting Knowledge from Point-of-Care Machines

Publisher / Amazon
2017
“Big Data Optimization”
Recent Developments and Challenges

Publisher / Amazon
2016
“Big Data Technologies and Applications”


Publisher / Amazon
2016
“Big Data, Data Mining, and Machine Learning”
Value Creation for Business Leaders and Practitioners

Publisher / Amazon
2014
“Big Visual Data Analysis”
Scene Classification and Geometric Labeling

Publisher / Amazon
2016
“Big-Data Analytics and Cloud Computing”
Theory, Algorithms and Applications

Publisher / Amazon
2016
“Bilinear Regression Analysis”
An Introduction

Publisher / Amazon
2018
“Biostatistics and Computer-based Analysis of Health Data using R”


Publisher / Amazon
2016
“Boosted Statistical Relational Learners”
From Benchmarks to Data-Driven Medicine

Publisher / Amazon
2015
“Bootstrapping Machine Learning”
The first guide to Prediction APIs

Publisher / Amazon
2014
“Breakdown in Traffic Networks”
Fundamentals of Transportation Science

Publisher / Amazon
2017
“Bridging the Semantic Gap in Image and Video Analysis”


Publisher / Amazon
2018
“Building a Recommendation System with R”


Publisher / Amazon
2015
“Building Bots with Microsoft Bot Framework”
Creating intelligent conversational interfaces

Publisher / Amazon
2017
“Building Chatbots with Python”
Using Natural Language Processing and Machine Learning

Publisher / Amazon
2019
“Building Intelligent Systems”
A Guide to Machine Learning Engineering

Publisher
2018
“Building Recommendation Engines”
Understand your data and user preferences to make intelligent, accurate, and profitable decisions

Publisher / Amazon
2016
“Building Trading Bots Using Java”


Publisher / Amazon
2016
“Business Analytics Using R”
A Practical Approach

Publisher / Amazon
2017
“Case-based Evidence – Grundlagen und Anwendung”
Prognose und Verbesserung der Akzeptanz von Produkten und Projekten

Publisher / Amazon
2016
“Case-Based Reasoning”
A Textbook

Publisher / Amazon
2013
“Categorical Data Analysis by Example”


Publisher / Amazon
2016
“Challenges in Computational Statistics and Data Mining”


Publisher / Amazon
2016
“Characterizing Interdependencies of Multiple Time Series”
Theory and Applications

Publisher / Amazon
2017
“Classification from Antiquity to Modern Times”
Sources, Methods, and Theories from an Interdisciplinary Perspective

Publisher / Amazon
2017
“Classification in BioApps”
Automation of Decision Making

Publisher / Amazon
2018
“Classification, (Big) Data Analysis and Statistical Learning”


Publisher / Amazon
2018
“Clinical Data Analysis on a Pocket Calculator”
Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing

Publisher / Amazon
2016
“Clinical Text Mining”
Secondary Use of Electronic Patient Records

Publisher / Amazon
2018
“Cognitive Computing”
Theory and Applications

Publisher / Amazon
2016
“Cognitive Computing for Big Data Systems Over IoT”
Frameworks, Tools and Applications

Publisher / Amazon
2018
“Cohort Intelligence”
A Socio-inspired Optimization Method

Publisher / Amazon
2016
“Combinatorial Optimization and Graph Algorithms”
Communications of NII Shonan Meetings

Publisher / Amazon
2017
“Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications”


Publisher / Amazon
2018
“Compact Extended Linear Programming Models”


Publisher / Amazon
2018
“Competition-Based Neural Networks with Robotic Applications”


Publisher / Amazon
2018
“Complex Event Processing”
Verarbeitung von Ereignismustern in Datenströmen

Publisher / Amazon
2017
“Complex Network Analysis in Python”
Recognize – Construct – Visualize – Analyze – Interpret

Publisher / Amazon
2017
“Complex Surveys”
Analysis of Categorical Data

Publisher / Amazon
2018
“Complexity of Seismic Time Series”
Measurement and Application

Publisher / Amazon
2018
“Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level”


Publisher
2018
“Compression-Based Methods of Statistical Analysis and Prediction of Time Series”


Publisher / Amazon
2016
“Computational Actuarial Science with R”
A Hands-On Approach to Understanding and Using Actuarial Models

Publisher / Amazon
2014
“Computational and Statistical Methods for Application in Industry 4.0”


Publisher / Amazon
2019
“Computational Intelligence”
A Methodological Introduction

Publisher / Amazon
2016
“Computational Intelligence”
Probleme, Methoden Und Technische Anwendungen

Amazon
2016
“Computational Intelligence”
Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze

Publisher / Amazon
2015
“Computational Intelligence for Network Structure Analytics”


Publisher / Amazon
2017
“Computational Intelligence for Pattern Recognition”


Publisher / Amazon
2018
“Computational Intelligence Techniques in Health Care”


Publisher / Amazon
2016
“Computational Intelligent Data Analysis for Sustainable Development”


Publisher / Amazon
2016
“Computational Metrics for Soccer Analysis”
Connecting the dots

Publisher / Amazon
2018
“Computational Personality Analysis”
Introduction, Practical Applications and Novel Directions

Publisher / Amazon
2016
“Conceptual Exploration”


Publisher / Amazon
2016
“Context-Aware Computing”


Publisher / Amazon
2018
“Convolution Copula Econometrics”


Publisher / Amazon
2016
“Correspondence Analysis in Practice”


Publisher / Amazon
2016
“Customer Relationship Analytics”
Praktische Anwendung des Data Mining im CRM

Publisher / Amazon
2015
“Data Analysis in the Cloud”
Models, Techniques and Applications

Publisher / Amazon
2015
“Data Analysis with R”


Publisher / Amazon
2018
“Data Analytics”
Models and Algorithms for Intelligent Data Analysis

Publisher / Amazon
2016
“Data Analytics for Intelligent Transportation Systems”


Publisher / Amazon
2017
“Data Analytics for Internal Auditors”


Publisher / Amazon
2017
“Data Analytics im Mittelstand”
Fundierter Einblick in das Modethema ‘Big Data’

Publisher / Amazon
2016
“Data Analytics in Digital Humanities”


Publisher / Amazon
2017
“Data Analytics in Professional Soccer”
Performance Analysis Based on Spatiotemporal Tracking Data

Publisher / Amazon
2018
“Data and Information Quality”
Dimensions, Principles and Techniques

Publisher / Amazon
2016
“Data Assimilation”
Mathematical Concepts and Instructive Examples

Publisher / Amazon
2015
“Data Assimilation”
A Mathematical Introduction

Publisher / Amazon
2015
“Data Classification”
Algorithms and Applications

Publisher / Amazon
2014
“Data Classification using Neural Analytics”


Publisher / Amazon
2017
“Data Clustering”
Algorithms and Applications

Publisher / Amazon
2013
“Data Envelopment Analysis”
From Normative to Descriptive Performance Evaluation

Publisher / Amazon
2017
“Data Envelopment Analysis”
A Handbook of Empirical Studies and Applications

Publisher / Amazon
2016
“Data Fitting and Uncertainty”
A practical introduction to weighted least squares and beyond

Publisher / Amazon
2016
“Data Mining”
Practical Machine Learning Tools and Techniques

Publisher / Amazon
2016
“Data Mining”


Amazon
2016
“Data Mining”
The Textbook

Publisher / Amazon
2015
“Data Mining”
Practical Machine Learning Tools and Techniques

Publisher / Amazon
2011
“Data Mining Algorithms”
Explained Using R

Publisher / Amazon
2015
“Data Mining and Analysis”
Fundamental Concepts and Algorithms

Publisher / Amazon
2014
“Data Mining and Constraint Programming”
Foundations of a Cross-Disciplinary Approach

Publisher / Amazon
2016
“Data Mining and Knowledge Discovery Handbook”


Publisher / Amazon
2010
“Data Mining for Managers”
How to Use Data (Big and Small) to Solve Business Challenges

Publisher / Amazon
2014
“Data Mining for Systems Biology”
Methods and Protocols

Publisher / Amazon
2018
“Data Mining Techniques for the Life Sciences”


Publisher / Amazon
2016
“Data Mining with Decision Trees”
Theory and Applications

Publisher / Amazon
2007
“Data Mining with SPSS Modeler”
Theory, Exercises and Solutions

Publisher / Amazon
2016
“Data Science”


Publisher / Amazon
2018
“Data Science”
Innovative Developments in Data Analysis and Clustering

Publisher / Amazon
2017
“Data Science”
Mindset, Methodologies, and Misconceptions

Publisher / Amazon
2017
“Data Science”
Create Teams That Ask the Right Questions and Deliver Real Value

Publisher / Amazon
2016
“Data Science and Big Data”
An Environment of Computational Intelligence

Publisher / Amazon
2017
“Data Science and Big Data Computing”
Frameworks and Methodologies

Publisher / Amazon
2016
“Data Science and Complex Networks”
Real Case Studies with Python

Publisher / Amazon
2016
“Data Science and Predictive Analytics”
Biomedical and Health Applications using R

Publisher / Amazon
2018
“Data Science for Business”
What you need to know about Data Mining and Data-Analytic Thinking

Publisher / Amazon
2013
“Data Science For Dummies”


Publisher / Amazon
2017
“Data Science for Transport”
A Self-Study Guide with Computer Exercises

Publisher
2018
“Data Science Foundations”
Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Publisher / Amazon
2017
“Data Science From Scratch”
First Principles with Python

Publisher / Amazon
2015
“Data Science Fundamentals for Python and MongoDB”


Publisher / Amazon
2018
“Data Science in Practice”


Publisher / Amazon
2019
“Data Scientist”
The Definitive Guide to Becoming a Data Scientist

Publisher / Amazon
2014
“Data Wrangling”
Munging in R with SQL and MongoDB for Financial Applications

Publisher / Amazon
2016
“Data Wrangling with R”


Publisher / Amazon
2016
“Data-Driven HR”
How to Use Analytics and Metrics to Drive Performance

Publisher / Amazon
2018
“Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System”


Publisher / Amazon
2015
“Data-Driven Prediction for Industrial Processes and Their Applications”


Publisher / Amazon
2018
“Data-Intensive Science”


Publisher / Amazon
2016
“Data-Variant Kernel Analysis”


Publisher / Amazon
2015
“Decision Tree and Ensemble Learning Based on Ant Colony Optimization”


Publisher / Amazon
2019
“Deep Learning”
Practical Neural Networks with Java

Publisher / Amazon
2017
“Deep Learning”
A Practitioner’s Approach

Publisher / Amazon
2016
“Deep Learning and Convolutional Neural Networks for Medical Image Computing”
Precision Medicine, High Performance and Large-Scale Datasets

Publisher / Amazon
2017
“Deep Learning for Biometrics”


Publisher / Amazon
2017
“Deep Learning for Medical Image Analysis”


Publisher / Amazon
2017
“Deep Learning From First Principles”
In vectorized Python, R and Octave

Amazon
2018
“Deep Learning with Python”
A Hands-on Introduction

Publisher / Amazon
2017
“Demand Forecasting for Inventory Control”


Publisher / Amazon
2015
“Descriptive Data Mining”


Publisher / Amazon
2017
“Designing with Data”
Improving the User Experience with A/B Testing

Publisher / Amazon
2017
“Deterministic Global Optimization”
An Introduction to the Diagonal Approach

Publisher / Amazon
2017
“Developing Analytic Talent: Becoming a Data Scientist”
The definitive job search and preparation guide for data scientists

Publisher / Amazon
2014
“Developing Bots with Microsoft Bots Framework”
Create Intelligent Bots using MS Bot Framework and Azure Cognitive Servic

Publisher / Amazon
2018
“Developments and Advances in Intelligent Systems and Applications”


Publisher / Amazon
2017
“Dictionary Learning Algorithms and Applications”


Publisher / Amazon
2018
“Diffuse Algorithms for Neural and Neuro-Fuzzy Networks”
With Applications in Control Engineering and Signal Processing

Publisher / Amazon
2017
“Diffusion in Social Networks”


Publisher / Amazon
2015
“Discrete Choice Analysis”
Theory and Application to Travel Demand

Publisher / Amazon
2018
“Discrete Data Analysis with R”
Visualization and Modeling Techniques for Categorical and Count Data

Publisher / Amazon
2015
“Discrete Optimization in Architecture”
Extremely Modular Systems

Publisher / Amazon
2016
“Discriminative Learning in Biometrics”


Publisher / Amazon
2016
“Disk-Based Algorithms for Big Data”


Publisher / Amazon
2016
“Disruptive Analytics”
Charting Your Strategy for Next-Generation Business Analytics

Publisher / Amazon
2016
“Docker for Data Science”
Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Publisher / Amazon
2017
“Doing Data Science”


Publisher / Amazon
2013
“Dynamic Data Analysis”
Modeling Data with Differential Equations

Publisher / Amazon
2017
“Effective CRM using Predictive Analytics”


Publisher / Amazon
2016
“Effizienzanalyse von Dienstleistungsproduktionen”
Eine Data Envelopment Analysis unter Berücksichtigung stochastischer externer Faktoren

Publisher / Amazon
2016
“Elements of Nonlinear Time Series Analysis and Forecasting”


Publisher / Amazon
2016
“Empirical Approach to Machine Learning”


Publisher / Amazon
2019
“Encyclopedia of Algorithms”


Publisher / Amazon
2016
“Encyclopedia of Algorithms”


Publisher / Amazon
2016
“Encyclopedia of Distances”


Publisher / Amazon
2016
“Encyclopedia of Machine Learning”


Publisher / Amazon
2011
“Encyclopedia of Machine Learning and Data Mining”


Publisher / Amazon
2017
“Encyclopedia of Machine Learning and Data Mining”


Publisher / Amazon
2017
“Encyclopedia of Social Network Analysis and Mining”


Publisher / Amazon
2018
“Encyclopedia of Social Network Analysis and Mining”
(ESNAM)

Publisher / Amazon
2014
“Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data”


Publisher / Amazon
2018
“Ensemble Methods in Data Mining”
Improving Accuracy Through Combining Predictions

Publisher / Amazon
2010
“Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction”


Publisher / Amazon
2018
“Entertainment Science”
Data Analytics and Practical Theory for Movies, Games, Books, and Music

Publisher / Amazon
2019
“Environmental Data Analysis”
Methods and Applications

Publisher / Amazon
2017
“Environmental Data Analysis”
Methods and Applications

Publisher / Amazon
2016
“Essentials of Time Series for Financial Applications”


Publisher / Amazon
2018
“Event Mining”
Algorithms and Applications

Publisher / Amazon
2015
“Evolutionary Algorithms and Neural Networks”
Theory and Applications

Publisher / Amazon
2019
“Evolutionary Algorithms for Food Science and Technology”


Publisher / Amazon
2017
“Evolutionary and Swarm Intelligence Algorithms”


Publisher / Amazon
2019
“Evolutionary Computation and Complex Networks”


Publisher / Amazon
2019
“Evolutionary Multi-Agent Systems”
From Inspirations to Applications

Publisher / Amazon
2017
“Examples in Parametric Inference with R”


Publisher / Amazon
2016
“Experience Management”
Foundations, Development Methodology and Internet-Based Applications

Publisher / Amazon
2002
“Exploratory Multivariate Analysis by Example Using R”


Publisher / Amazon
2017
“Exploring Neural Networks with C#”


Publisher / Amazon
2014
“Extending the Linear Model with R”
Generalized Linear, Mixed Effects and Nonparametric Regression Models

Publisher / Amazon
2016
“Extracting Knowledge from Time Series”
An Introduction to Nonlinear Empirical Modeling

Publisher / Amazon
2010
“Extremal Optimization”
Fundamentals, Algorithms, and Applications

Publisher / Amazon
2016
“Extreme Value Distributions”


Publisher / Amazon
2016
“Fault-Tolerant Search Algorithms”
Reliable Computation with Unreliable Information

Publisher / Amazon
2013
“Feature Engineering for Machine Learning”
Principles and Techniques for Data Scientists

Publisher / Amazon
2018
“Feature Extraction, Construction and Selection”
A Data Mining Perspective

Publisher / Amazon
1998
“Feature Extraction: Foundations and Applications”


Publisher / Amazon
2006
“Feature Selection for High-Dimensional Data”


Publisher / Amazon
2016
“Federal Data Science”
Transforming Government and Agricultural Policy Using Artificial Intelligence

Publisher / Amazon
2017
“Finding out about”
A cognitive perspective on Search Engine Technology and the WWW

Amazon
2001
“Finite Mathematics”
Models and Applications

Publisher / Amazon
2015
“Flexible Imputation of Missing Data”


Publisher / Amazon
2018
“Flexible Regression and Smoothing”
Using GAMLSS in R

Publisher / Amazon
2017
“Forecast Error Correction using Dynamic Data Assimilation”


Publisher / Amazon
2016
“Formal Concept Analysis of Social Networks”


Publisher / Amazon
2017
“Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering”


Publisher / Amazon
2016
“Foundations of Predictive Analytics”


Publisher / Amazon
2012
“Fourier Analysis of Economic Phenomena”


Publisher / Amazon
2018
“Fraud Data Analytics Methodology”
The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

Publisher / Amazon
2017
“From Basic Survival Analytic Theory to a Non-Standard Application”


Publisher / Amazon
2017
“From Curve Fitting to Machine Learning”
An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

Publisher / Amazon
2016
“From Human Attention to Computational Attention”
A Multidisciplinary Approach

Publisher / Amazon
2018
“From Social Data Mining and Analysis to Prediction and Community Detection”


Publisher / Amazon
2017
“Functional and Shape Data Analysis”


Publisher / Amazon
2016
“Functional Data Analysis”


Publisher / Amazon
2005
“Fundamental Issues of Artificial Intelligence”


Publisher / Amazon
2016
“Fundamentals of Big Data Network Analysis for Research and Industry”


Publisher / Amazon
2016
“Fundamentals of Clinical Data Science”


Publisher
2019
“Fundamentals of Database Indexing and Searching”


Publisher
2016
“Fundamentals of Deep Learning”
Designing Next-Generation Machine Intelligence Algorithms

Publisher / Amazon
2017
“Fundamentals of Machine Learning for Predictive Data Analytics”
Algorithms, Worked Examples, and Case Studies

Publisher / Amazon
2015
“Fundamentals of Optimization”
Methods, Minimum Principles, and Applications for Making Things Better

Publisher / Amazon
2018
“Fundamentals of Predictive Text Mining”


Publisher / Amazon
2015
“Fuzziness in Information Systems”
How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization

Publisher / Amazon
2016
“Fuzzy Logic Augmentation of Neural and Optimization Algorithms”
Theoretical Aspects and Real Applications

Publisher / Amazon
2018
“Fuzzy Machine Learning”
Advanced Approaches to Solve Optimization Problems

Publisher
2019
“Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration”


Publisher / Amazon
2005
“Fuzzy Sets, Rough Sets, Multisets and Clustering”


Publisher / Amazon
2017
“Fuzzy Technology”
Present Applications and Future Challenges

Publisher / Amazon
2016
“Gems of Combinatorial Optimization and Graph Algorithms”


Amazon
2015
“Generalizations of Fuzzy Information Measures”


Publisher / Amazon
2016
“Generalized Additive Models”
An Introduction with R

Publisher / Amazon
2017
“Generalized Connectivity of Graphs”


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2016
“Generalized Low Rank Models”


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2016
“Generalized Principal Component Analysis”


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2016
“Genetic Algorithm Essentials”


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2017
“Genetic Algorithms in Java Basics”


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2015
“Genetic Programming Theory and Practice XIII”


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2017
“Genome Data Analysis”


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2018
“Granular Computing Based Machine Learning”
A Big Data Processing Approach

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2018
“Granular-Relational Data Mining”
How to Mine Relational Data in the Paradigm of Granular Computing?

Publisher / Amazon
2017
“Graph Analysis and Visualization”
Discovering Business Opportunity in Linked Data

Publisher / Amazon
2015
“Graph-Based Social Media Analysis”


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2015
“Grey Data Analysis”
Methods, Models and Applications

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2017
“Grouping Genetic Algorithms”
Advances and Applications

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2016
“Guide to Competitive Programming”
Learning and Improving Algorithms Through Contests

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2017
“Guide to Convolutional Neural Networks”
A Practical Application to Traffic-Sign Detection and Classification

Publisher / Amazon
2017
“Guide to Data Analytics”


Publisher / Amazon
2018
“Guide to Intelligent Data Analysis”
How to Intelligently Make Sense of Real Data

Publisher / Amazon
2010
“Hadoop”
The Definitive Guide

Publisher / Amazon
2012
“Handbook of Approximate Bayesian Computation”


Publisher / Amazon
2018
“Handbook of Big Data”


Publisher / Amazon
2016
“Handbook of Big Data Analytics”


Publisher / Amazon
2018
“Handbook of Convex Optimization Methods in Imaging Science”


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2017
“Handbook of Discrete-Valued Time Series”


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2015
“Handbook of Graphical Models”


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2018
“Handbook of Heuristics”


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2018
“Handbook of Item Response Theory”
Volume One: Models

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2016
“Handbook of Metaheuristics”


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2019
“Handbook of Metaheuristics”


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2010
“Handbook of Missing Data Methodology”


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2014
“Handbook of Mixed Membership Models and Their Applications”


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2014
“Handbook of Model Checking”


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2018
“Handbook of Model Predictive Control”


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2019
“Handbook of Neural Computation”


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2017
“Handbook of Operations Analytics Using Data Envelopment Analysis”


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2016
“Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering”


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2018
“Handbook of Robust Low-Rank and Sparse Matrix Decomposition”
Applications in Image and Video Processing

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2016
“Handbook of Signal Processing Systems”


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2018
“Handbook of Statistical Analysis and Data Mining Applications”
2nd Edition

Publisher / Amazon
2017
“Handbook of Statistical Analysis and Data Mining Applications”


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2009
“Handbook of Statistical Methods and Analyses in Sports”


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2016
“Handbook of Survival Analysis”


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2013
“Handbook of Uncertainty Quantification”


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2017
“Hands-On Machine Learning with Scikit-Learn and TensorFlow”
Concepts, Tools, and Techniques for Building Intelligent Systems

Publisher / Amazon
2017
“Health Informatics Data Analysis”
Methods and Examples

Publisher / Amazon
2017
“Healthcare Analytics”
From Data to Knowledge to Healthcare Improvement

Publisher / Amazon
2016
“Healthcare Data Analytics”


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2015
“Heuristic Search”
The Emerging Science of Problem Solving

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2017
“Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling”


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2016
“Hidden Markov Models for Time Series”
An Introduction Using R

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2016
“Hidden Semi-Markov Models”
Theory, Algorithms and Applications

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2015
“High Performance Data Mining and Big Data Analytics”
The Story of Insight from Big Data

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2014
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2016
“Human Re-Identification”


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2016
“Hybrid Intelligence for Social Networks”


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2018
“Hyper-lattice Algebraic Model for Data Warehousing”


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2016
“Independent Random Sampling Methods”


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2018
“Inference for Heavy-Tailed Data”
Applications in Insurance and Finance

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2017
“Information Fusion for Cyber-Security Analytics”


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2016
“Infrastruktur für ein Data Mining Design Framework”
Eine Untersuchung mit Fallbeispielen

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2018
“Insight into Fuzzy Modeling”


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2016
“Intelligent City Evaluation System”


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2018
“Intelligent Computing Systems”
Emerging Application Areas

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2016
“Intelligent Data Analysis”
An Introduction

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2006
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Trends and Applications

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2018
“Intelligent Techniques for Data Science”


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2016
“Intelligent Transportation Systems”
Dependable Vehicular Communications for Improved Road Safety

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2016
“Interpretability of Computational Intelligence-Based Regression Models”


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2015
“Introduction to Artificial Intelligence”


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2017
“Introduction to Artificial Intelligence”


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2016
“Introduction to Bayesian Statistics”


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2016
“Introduction to Data Science”
A Python Approach to Concepts, Techniques and Applications

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2017
“Introduction to Deep Learning”
From Logical Calculus to Artificial Intelligence

Publisher / Amazon
2018
“Introduction to Deep Learning Using R”
A Step-by-Step Guide to Learning and Implementing Deep Learning Models using R

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2017
“Introduction to Learning Classifier Systems”


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2017
“Introduction to modern Time Series Analysis”


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2008
“Introduction to Nature-Inspired Optimization”


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2017
“Introduction to Nonparametric Statistics for the Biological Sciences Using R”


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2016
“Introduction to Probability with Statistical Applications”


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2016
“Introduction to Scientific Computing and Data Analysis”


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2016
“Introduction to Statistical Analysis of Laboratory Data”


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2016
“Introduction to Statistical Machine Learning”


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2015
“Introduction to the Modeling and Analysis of Complex Systems”


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2015
“Introduction to Time Series and Forecasting”


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2016
“Introduction to Time Series Forecasting With Python”


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2017
“Issues in the Use of Neural Networks in Information Retrieval”


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2017
“Iterative Learning Control for Multi-agent Systems Coordination”


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2017
“Java Data Mining”
Strategy, Standard, and Practice. A Practical Guide for Architecture, Design, and Implementation

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2006
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2016
“Künstliche Intelligenz”


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2004
“Kalman Filtering”
with Real-Time Applications

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2017
“Kernel Mean Embedding of Distributions”
A Review and Beyond

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2017
“Knowledge Transfer between Computer Vision and Text Mining”
Similarity-based Learning Approaches

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2016
“Large-Scale Graph Processing Using Apache Giraph”


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2017
“Lasso-MPC – Predictive Control with 1-Regularised Least Squares”


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2016
“Learning Analytics”
Measurement Innovations to Support Employee Development

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2016
“Learning Analytics in R with SNA, LSA, and MPIA”


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2016
“Learning Systems”
From Theory to Practice

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2018
“Learning TensorFlow”
A Guide to Building Deep Learning Systems

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2017
“Lecture Notes in Real-Time Intelligent Systems”


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2018
“Lifelong Machine Learning”


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2018
“Likelihood-Free Methods for Cognitive Science”


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2018
“Linear and Nonlinear Optimization”


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2017
“Linear and Nonlinear Programming”


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2016
“Linear Programming”
Foundations and Extensions

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2014
“Linear Regression”


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2017
“Link Prediction in Social Networks”
Role of Power Law Distribution

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2016
“Logistics, Supply Chain and Financial Predictive Analytics”
Theory and Practices

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2019
“Loss Data Analysis”


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2018
“Low-Rank Models in Visual Analysis”
Theories, Algorithms, and Applications

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2017
“Machine Intelligence and Big Data in Industry”


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2016
“Machine Learners”
Archaeology of a Data Practice

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2017
“Machine Learning”
A Concise Introduction

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2018
“Machine Learning”
A Practical Approach on the Statistical Learning Theory

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2018
“Machine Learning”
A Concise Introduction

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2018
“Machine Learning”
Algorithms and Applications

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2016
“Machine Learning”
A Probabilistic Perspective

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2012
“Machine Learning”
The Art and Science of Algorithms that Make Sense of Data

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2012
“Machine Learning and Security”
Protecting Systems with Data and Algorithms

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2018
“Machine Learning for Audio, Image and Video Analysis”
Theory and Applications

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2015
“Machine Learning for Big Data Analyis”


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2018
“Machine Learning for Evolution Strategies”


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2016
“Machine Learning For Hackers”


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2012
“Machine Learning for Model Order Reduction”


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2018
“Machine Learning for the Quantified Self”
On the Art of Learning from Sensory Data

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2018
“Machine Learning in Complex Networks”


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2016
“Machine Learning in Python”
Essential Techniques for Predictive Analysis

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2015
“Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video”


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2018
“Machine Learning Models and Algorithms for Big Data Classification”
Thinking with Examples for Effective Learning

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2016
“Machine Learning Paradigms”
Advances in Data Analytics

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2019
“Machine Learning Paradigms”
Artificial Immune Systems and their Applications in Software Personalization

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2016
“Machine Learning Paradigms”
Applications in Recommender Systems

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2015
“Machine Learning Risk Assessments in Criminal Justice Settings”


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2019
“Machine Learning Techniques for Online Social Networks”


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2019
“Machine Learning Using R”
With Time Series and Industry-Based Use Cases in R

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2019
“Machine Learning Using R”


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2017
“Machine Learning with PySpark”
With Natural Language Processing and Recommender Systems

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2019
“Machine Scheduling to Minimize Weighted Completion Times”
The Use of the a-point

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2018
“Machine-learning Techniques in Economics”
New Tools for Predicting Economic Growth

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2017
“Managing and Mining Graph Data”
Advances in Database Systems

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2012
“Market Segmentation Analysis”
Understanding It, Doing It, and Making It Useful

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2018
“Marketing Analytics”
A Practical Guide to Improving Consumer Insights Using Data Techniques

Publisher / Amazon
2017
“Marketing Analytics”
Data-Driven Techniques with Microsoft Excel

Publisher / Amazon
2014
“Mastering Data Analysis with R”
Gain clear insights into your data and solve real-world data science problems with R – from data munging to modeling and visualization

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2015
“Mastering Machine Learning Algorithms”


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2018
“Mastering Machine Learning with R”


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2015
“Mastering Text Mining with R”
Master text-taming techniques and build effective text-processing applications with R

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2016
“Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases”


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2018
“Mathematical Problems in Data Science”
Theoretical and Practical Methods

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2015
“MATLAB Deep Learning”
With Machine Learning, Neural Networks and Artificial Intelligence

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2017
“MATLAB Machine Learning Recipes”
A Problem-Solution Approach

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2018
“Matrix and Tensor Factorization Techniques for Recommender Systems”


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2017
“Matrix-Based Introduction to Multivariate Data Analysis”


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2016
“Maximum-Entropy Networks”
Pattern Detection, Network Reconstruction and Graph Combinatorics

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2017
“Means in Mathematical Analysis”
Bivariate Means

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2017
“Measures of Complexity”
Festschrift for Alexey Chervonenkis

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2015
“Measuring and Analysing the Use of Ontologies”
A Semantic Framework for Measuring Ontology Usage

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2018
“Medical Decision Making”
A Health Economic Primer

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2017
“Meta-Analysis”
A Structural Equation Modeling Approach

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2015
“Meta-Analytic Structural Equation Modelling”


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2015
“Meta-heuristic and Evolutionary Algorithms for Engineering Optimization”


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2018
“Metaheuristics”


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2016
“Mining Latent Entity Structures”


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2015
“Mining Multimedia Documents”


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2017
“Mining the Social Web”


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2018
“Missing Data Analysis in Practice”


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2015
“Mixed Effects Models for the Population Approach”
Models, Tasks, Methods and Tools

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2014
“Mixed Intelligent Systems”
Developing Models for Project Management and Evaluation

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2018
“Mixture Model-Based Classification”


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2016
“Model Predictive Control”
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

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2019
“Model-Free Prediction and Regression”
A Transformation-Based Approach to Inference

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2015
“Modeling Discrete Time-to-Event Data”


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2016
“Modeling Discrete-Event Systems with GPenSIM”
An Introduction

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2018
“Modeling Techniques in Predictive Analytics”
Business Problems and Solutions with R

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2013
“Modeling with Rules Using Semantic Knowledge Engineering”


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2018
“Modern Analysis of Customer Surveys”
with Applications using R

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2012
“Modern Bayesian Statistics in Clinical Research”


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2018
“Monte-Carlo Simulation-Based Statistical Modeling”


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2017
“Movie Analytics”
A Hollywood Introduction to Big Data

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2015
“Multicriteria Analysis in Agriculture”
Current Trends and Recent Applications

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2018
“Multicriteria and Clustering”
Classification Techniques in Agrifood and Environment

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2017
“Multimedia Content Analysis”


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2016
“Multimodal Analysis of User-Generated Multimedia Content”


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2017
“Multimodal Optimization by Means of Evolutionary Algorithms”


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2015
“Multiobjective Linear and Integer Programming”


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2016
“Multiobjective Linear Programming”
An Introduction

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2016
“Multi-Objective Optimization Problems”
Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

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2017
“Multi-Period Trading via Convex Optimization”


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2017
“Multiple Criteria Decision Analysis”
State of the Art Surveys

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2016
“Multiple Criteria Decision Making by Multiobjective Optimization”


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2016
“Multiple Instance Learning”
Foundations and Algorithms

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2016
“Multivariable Dynamic Calculus on Time Scales”


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2016
“Multivariate Modelling of Non-Stationary Economic Time Series”


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2017
“Multivariate Survival Analysis and Competing Risks”


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2016
“Multivariate Time Series With Linear State Space Structure”


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2016
“Multiview Machine Learning for Data Analysis”


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2019
“Nature Inspired Optimization Techniques for Image Processing Applications”


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2019
“Nature-Inspired Algorithms and Applied Optimization”


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2018
“Nature-Inspired Optimization Algorithms”


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2016
“Network Analysis Literacy”
A Practical Approach to the Analysis of Networks

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2016
“Network Data Envelopment Analysis”
Foundations and Extensions

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2016
“Network Role Mining and Analysis”


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2017
“Network Traffic Anomaly Detection and Prevention”
Concepts, Techniques, and Tools

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2017
“Neural Network Driven Artificial Intelligence”
Decision Making Based on Fuzzy Logic

Publisher / Amazon
2017
“Neural Networks and Deep Learning”
A Textbook

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2018
“Neural Networks and Statistical Learning”


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2014
“New Approaches in Intelligent Image Analysis”
Techniques, Methodologies and Applications

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2016
“New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks”


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2016
“New Introduction to Multiple Time Series Analysis”


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2005
“Non-Convex Multi-Objective Optimization”


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2017
“Nonlinear Principal Component Analysis and Its Applications”


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2016
“Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments”


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2016
“Non-negative Matrix Factorization Techniques”
Advances in Theory and Applications

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2016
“Novel Applications of Intelligent Systems”


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2016
“Numerical Methods”
Using MATLAB

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2018
“Numerical Optimization”


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2006
“Numerical Probability”
An Introduction with Applications to Finance

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2018
“Online Algorithms for the Portfolio Selection Problem”


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2016
“Online Portfolio Selection”
Principles and Algorithms

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2015
“Operational Modal Analysis”
Modeling, Bayesian Inference, Uncertainty Laws

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2017
“Operators for Similarity Search”
Semantics, Techniques and Usage Scenarios

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2015
“Optimization and Approximation”


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2017
“Optimization and Decision Support Systems for Supply Chains”


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2017
“Optimization by GRASP”
Greedy Randomized Adaptive Search Procedures

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2016
“Optimization in Engineering: Models and Algorithms”
Models and Algorithms

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2017
“Optimization of Energy Supply Systems”
Modelling, Programming and Analysis

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2019
“Outlier Analysis”


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2017
“Outlier Analysis”


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2017
“Outlier Ensembles”
An Introduction

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2017
“Parallel Computing for Data Science”
With Examples in R, C++ and CUDA

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2015
“Parallelism in Matrix Computations”


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2015
“Partial Least Squares Structural Equation Modeling”
Recent Advances in Banking and Finance

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2018
“Partitional Clustering Algorithms”


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2014
“Pattern Classification of Biomedical Image Time-Series”
Computer Aided Diagnosis

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2017
“Pattern Mining with Evolutionary Algorithms”


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2016
“Patterns of Scalable Bayesian Inference”
Foundations and Trends in Machine Learning

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2016
“Pedometrics”


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2018
“People Analytics in the Era of Big Data”
Changing the Way You Attract, Acquire, Develop, and Retain Talent

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2016
“Perceptrons”
Reissue Of The 1988 Expanded Edition With A New Foreword By Léon Bottou

Publisher / Amazon
2017
“Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models”
Theory and Applications

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2019
“Perspectives on Data Science for Software Engineering”


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2016
“Plan Prediction”
Which Policy is Preferred by Which People?

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2017
“Point Processes for Reliability Analysis”
Shocks and Repairable Systems

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2018
“Post, Mine, Repeat”
Social Media Data Mining Becomes Ordinary

Publisher / Amazon
2016
“Practical Data Science”
A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

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2018
“Practical Graph Analytics with Apache Giraph”


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2015
“Practical Guide to Logistic Regression”


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2015
“Practical Guide To Principal Component Methods in R”


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“Practical Hive”
A Guide to Hadoop’s Data Warehouse System

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2016
“Practical Machine Learning and Image Processing”
For Facial Recognition, Object Detection, and Pattern Recognition Using Python

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2019
“Predicting Stock Returns”
Implications for Asset Pricing

Publisher / Amazon
2018
“Prediction and Inference from Social Networks and Social Media”


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2017
“Predictive Analytics for Marketers”
Using Data Mining for Business Advantage

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2018
“Predictive Analytics, Data Mining and Big Data”
Myths, Misconceptions and Methods

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2014
“Predictive Data Mining Models”


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2016
“Predictive HR Analytics”
Mastering the HR Metric

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2019
“Predictive HR Analytics”
Mastering the HR Metric

Publisher / Amazon
2016
“Principal Component Analysis Networks and Algorithms”


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2017
“Principal Component and Correspondence Analyses Using R”


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2018
“Principal Component Regression for Crop Yield Estimation”


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2016
“Principles of Data Mining”


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2016
“Pro Hadoop Data Analytics”
Designing and Building Big Data Systems using the Hadoop Ecosystem

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2016
“Probabilistic Approaches to Recommendations”
Synthesis Lectures on Data Mining and Knowledge Discovery

Publisher / Amazon
2014
“Probabilistic Cellular Automata”
Theory, Applications and Future Perspectives

Publisher / Amazon
2018
“Probabilistic Models of Population Evolution”
Scaling Limits, Genealogies and Interactions

Publisher / Amazon
2016
“Probabilistic Networks and Expert Systems”
Exact Computational Methods for Bayesian Networks

Publisher / Amazon
2007
“Probability and Conditional Expectation”
Fundamentals for the Empirical Sciences

Publisher / Amazon
2017
“Probability Collectives”
A Distributed Multi-agent System Approach for Optimization

Publisher / Amazon
2015
“Probability Distributions”
With Truncated, Log and Bivariate Extensions

Publisher / Amazon
2017
“Process Analytics”
Concepts and Techniques for Querying and Analyzing Process Data

Publisher / Amazon
2015
“Process Mining”
Data Science in Action

Publisher / Amazon
2016
“Process Mining”
Discovery, Conformance and Enhancement of Business Processes

Publisher / Amazon
2011
“Processing and Analyzing Financial Data with R”


Publisher / Amazon
2017
“Production and Efficiency Analysis with R”


Publisher / Amazon
2015
“Programming Collective Intelligence”
Building Smart Web 2.0 Applications

Publisher / Amazon
2007
“Programming for Computations – Python”
A Gentle Introduction to Numerical Simulations with Python

Publisher / Amazon
2016
“Projection-Based Clustering through Self-Organization and Swarm Intelligence”
Combining Cluster Analysis with the Visualization of High-Dimensional Data

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2018
“Proper Generalized Decompositions”
An Introduction to Computer Implementation with Matlab

Publisher / Amazon
2016
“Python For ArcGIS”


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2015
“Python for Data Analysis”
Data Wrangling with Pandas, NumPy, and IPython

Publisher / Amazon
2017
“QoS Prediction in Cloud and Service Computing”
Approaches and Applications

Publisher / Amazon
2017
“Quality Control with R”
An ISO Standards Approach

Publisher / Amazon
2015
“Quantitative Data Analysis”
A Companion for Accounting and Information Systems Research

Publisher / Amazon
2016
“Quantitative Reasoning”
Tools for Today’s Informed Citizen

Publisher / Amazon
2015
“Query Processing on Probabilistic Data”
A Survey

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2017
“R for Data Science”


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2017
“R Packages”


Publisher / Amazon
2015
“R Primer”


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2017
“Rankings and Preferences”
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications

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2015
“Real World Data Mining Applications”


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2015
“Real-Time Analytics”
Techniques to Analyze and Visualize Streaming Data

Publisher / Amazon
2014
“Realtime Data Mining”
Self-Learning Techniques for Recommendation Engines

Publisher / Amazon
2014
“Reasoning about Uncertainty”


Publisher / Amazon
2017
“Recent Developments in Data Science and Intelligent Analysis of Information”
Proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information

Publisher / Amazon
2018
“Recent Developments in Metaheuristics”


Publisher / Amazon
2018
“Recent Trends in Data Science and Soft Computing”


Publisher / Amazon
2019
“Recommender Systems”
The Textbook

Publisher / Amazon
2016
“Recommender Systems Handbook”


Publisher
2015
“Recurrent Neural Networks for Short-Term Load Forecasting”
An Overview and Comparative Analysis

Publisher / Amazon
2017
“Recursive Identification and Parameter Estimation”
Recursive approach to solving system identification and parameter estimation problems arising from diverse areas

Publisher / Amazon
2014
“Redescription Mining”


Publisher / Amazon
2018
“Regression Modeling Strategies”
With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Publisher / Amazon
2015
“Reinforcement Learning”
An Introduction

Publisher / Amazon
2018
“Reinforcement Learning”
State-of-the-Art (Adaptation, Learning, and Optimization)

Publisher / Amazon
2012
“Reinforcement Learning for Optimal Feedback Control”
A Lyapunov-Based Approach

Publisher / Amazon
2018
“Reliability Modelling and Analysis in Discrete Time”


Publisher / Amazon
2018
“Reproducible Finance with R”
Code Flows and Shiny Apps for Portfolio Analysis

Publisher / Amazon
2018
“Retail Analytics”
Integrated Forecasting and Inventory Management for Perishable Products in Retailing

Publisher / Amazon
2015
“Reverse Hypothesis Machine Learning”
A Practitioner’s Perspective

Publisher / Amazon
2017
“Roadside Video Data Analysis”
Deep Learning

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2017
“Robust Correlation”
Theory and Applications

Publisher / Amazon
2016
“Robust Intelligence and Trust in Autonomous Systems”


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2016
“Robust Multivariate Analysis”


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2017
“Robust Nonlinear Regression”
with Applications using R

Publisher / Amazon
2018
“Robust Representation for Data Analytics”
Models and Applications

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2017
“Rule Based Systems for Big Data”


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2016
“Scalable Algorithms for Data and Network Analysis”


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2016
“Scheduling”
Theory, Algorithms, and Systems

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2016
“Search Techniques in Intelligent Classification Systems”


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2016
“Self-Learning Optimal Control of Nonlinear Systems”
Adaptive Dynamic Programming Approach

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2017
“Self-Organizing Migrating Algorithm”
Methodology and Implementation

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2016
“Sentiment Analysis in the Bio-Medical Domain”
Techniques, Tools, and Applications

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2017
“Separating Information Maximum Likelihood Method for High-Frequency Financial Data”


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2018
“Sequential Analysis”
Hypothesis Testing and Changepoint Detection

Publisher / Amazon
2014
“Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics”


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2018
“Singular Spectrum Analysis”
Using R

Publisher / Amazon
2018
“Singular Spectrum Analysis with R”


Publisher / Amazon
2018
“Smart Cities”
Applications, Technologies, Standards, and Driving Factors

Publisher / Amazon
2018
“Social Media Mining with R”
Deploy cutting-edge sentiment analysis techniques to real-world social media data using R

Publisher / Amazon
2014
“Social Network Analysis in Predictive Policing”
Concepts, Models and Methods

Publisher / Amazon
2016
“Social Network Based Big Data Analysis and Applications”


Publisher / Amazon
2018
“Social Network-Based Recommender Systems”


Publisher / Amazon
2015
“Soft Computing in Data Science”


Publisher / Amazon
2016
“Sound analysis and synthesis with R”
Details sound analysis and synthesis principles

Publisher / Amazon
2018
“Spatial Big Data Science”
Classification Techniques for Earth Observation Imagery

Publisher / Amazon
2017
“Spatial Data Mining”
Theory and Application

Publisher / Amazon
2015
“Spatial Interaction Models”
Facility Location Using Game Theory

Publisher / Amazon
2017
“Spatio-Temporal Recommendation in Social Media”


Publisher / Amazon
2016
“Springer Handbook of Computational Intelligence”


Publisher / Amazon
2015
“Springer Handbook of Speech Processing”


Publisher / Amazon
2017
“Statistical Analysis with Measurement Error or Misclassification”
Strategy, Method and Application

Publisher / Amazon
2017
“Statistical Data Analytics”
Foundations for Data Mining, Informatics, and Knowledge Discovery

Publisher / Amazon
2015
“Statistical Learning from a Regression Perspective”


Publisher / Amazon
2016
“Statistical Modeling for Degradation Data”


Publisher / Amazon
2017
“Statistical Reinforcement Learning”
Modern Machine Learning Approaches

Publisher / Amazon
2015
“Statistical Rethinking: A Bayesian Course with Examples in R and Stan”


Publisher / Amazon
2015
“Statistical Tools for Program Evaluation”
Methods and Applications to Economic Policy, Public Health, and Education

Publisher / Amazon
2017
“Statistics for Lawyers”


Publisher / Amazon
2015
“Statistics for Machine Learning”
Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Publisher / Amazon
2017
“Stochastic Calculus of Variations”


Amazon
2016
“Stochastic Modelling in Production Planning”
Methods for Improvement and Investigations on Production System Behaviour

Publisher / Amazon
2018
“Stochastic Neuron Models”


Publisher / Amazon
2016
“Stochastic Optimization Methods”
Applications in Engineering and Operations Research

Publisher / Amazon
2015
“Stochastische Risikomodellierung und statistische Methoden”


Publisher / Amazon
2016
“Streaming Data”
Understanding the real-time pipeline

Publisher / Amazon
2017
“Structural Pattern Recognition with Graph Edit Distance”
Approximation Algorithms and Applications

Publisher / Amazon
2015
“Supplier Selection”
An MCDA-Based Approach

Publisher / Amazon
2017
“Support Vector Machines and Perceptrons”
Learning, Optimization, Classification, and Application to Social Networks

Publisher / Amazon
2016
“Survey Methodology and Missing Data”
Tools and Techniques for Practitioners

Publisher / Amazon
2018
“Survival Analysis”
A Self-Learning Text

Publisher / Amazon
2011
“Survival and Event History Analysis”
A Process Point of View

Publisher / Amazon
2008
“Survival under Uncertainty”
An Introduction to Probability Models of Social Structure and Evolution

Publisher / Amazon
2016
“Sustainable Logistics and Transportation”
Optimization Models and Algorithms

Publisher / Amazon
2018
“Symbolic Data Analysis”
Conceptual Statistics and Data Mining

Publisher / Amazon
2007
“System Dynamics Modeling with R”


Publisher / Amazon
2016
“Techniques and Environments for Big Data Analysis”
Parallel, Cloud, and Grid Computing

Publisher / Amazon
2016
“Tempered Stable Distributions”
Stochastic Models for Multiscale Processes

Publisher / Amazon
2016
“Temporal Data Mining via Unsupervised Ensemble Learning”


Publisher / Amazon
2016
“Tensor Networks for Dimensionality Reduction and Large-scale Optimization”
Part 1 Low-Rank Tensor Decompositions

Publisher / Amazon
2017
“Tensor Networks for Dimensionality Reduction and Large-scale Optimization”
Part 2 Applications and Future Perspectives

Publisher / Amazon
2017
“Tensor Numerical Methods in Scientific Computing”


Publisher / Amazon
2018
“TensorFlow For Machine Intelligence”
A Hands-on Introduction to Learning Algorithms

Publisher / Amazon
2016
“Text Analytics with Python”
A Practical Real-World Approach to Gaining Actionable Insights from your Data

Publisher / Amazon
2016
“The Analysis of Biological Data”


Publisher / Amazon
2017
“The Art and Science of Analyzing Software Data”
Analysis Patterns

Publisher / Amazon
2015
“The Basics of Item Response Theory Using R”


Publisher / Amazon
2017
“The Cox Model and Its Applications”


Publisher / Amazon
2016
“The Data Science Design Manual”


Publisher / Amazon
2017
“The Elements of Statistical Learning”
Data Mining, Inference, and Prediction

Publisher / Amazon
2011
“The Encyclopedia of Big Data”


Publisher / Amazon
2017
“The Fundamentals of Computational Intelligence”
System Approach

Publisher / Amazon
2017
“The Tyranny of Uncertainty”
A New Framework to Predict, Remediate and Monitor Risk

Publisher / Amazon
2016
“Theory and Methods of Statistics”


Publisher / Amazon
2016
“Think Like a Data Scientist”
Tackle the data science process step-by-step

Publisher / Amazon
2017
“Thinking with Data”
How to Turn Information into Insights

Publisher / Amazon
2014
“Thoughtful Machine Learning”
A Test-Driven Approach

Publisher / Amazon
2014
“Time Series Analysis”
Nonstationary and Noninvertible Distribution Theory

Publisher / Amazon
2017
“Time Series Analysis”


Publisher / Amazon
2016
“Time Series Analysis and Forecasting”
Selected Contributions from the ITISE Conference

Publisher / Amazon
2016
“Time Series Analysis and Its Applications”
With R Examples

Publisher / Amazon
2017
“Time Series Analysis Methods and Applications for Flight Data”


Publisher / Amazon
2017
“Time Series Econometrics”


Publisher / Amazon
2016
“Time-Series Prediction and Applications”
A Machine Intelligence Approach

Publisher / Amazon
2017
“Topological Methods in Data Analysis and Visualization IV”
Theory, Algorithms, and Applications

Publisher / Amazon
2017
“Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data”


Publisher / Amazon
2018
“Traffic Anomaly Detection”


Publisher / Amazon
2015
“Transparent Data Mining for Big and Small Data”


Publisher / Amazon
2017
“Transportation Analytics in the Era of Big Data”


Publisher / Amazon
2019
“Trends in Social Network Analysis”
Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment

Publisher / Amazon
2017
“Twin Support Vector Machines”
Models, Extensions and Applications

Publisher / Amazon
2017
“Type-2 Fuzzy Logic”
Uncertain Systems’ Modeling and Control

Publisher / Amazon
2017
“Uncertain Data Envelopment Analysis”


Publisher / Amazon
2016
“Uncertainty Modelling in Data Science”


Publisher
2019
“Understanding Data Science”


Publisher / Amazon
2019
“Understanding Markov Chains”
Examples and Applications

Publisher / Amazon
2018
“Unstructured Data Analytics”
How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

Publisher / Amazon
2018
“Unsupervised Learning Algorithms”


Publisher / Amazon
2016
“Using Additional Information in Streaming Algorithms”


Publisher
2016
“Using R for Digital Soil Mapping”


Publisher / Amazon
2016
“Using R for Introductory Econometrics”


Publisher / Amazon
2016
“Vector Generalized Linear and Additive Models”
With an Implementation in R

Publisher / Amazon
2015
“Visual Attributes”


Publisher / Amazon
2017
“Visual Pattern Discovery and Recognition”


Publisher / Amazon
2017
“Visual Six Sigma”
Making Data Analysis Lean

Publisher / Amazon
2016
“Winning at Litigation through Decision Analysis”
Creating and Executing Winning Strategies in any Litigation or Dispute

Publisher / Amazon
2016
“Workflow Modeling Assistance by Case-based Reasoning”


Publisher / Amazon
2018

Semantic Analytics

“A Practical Guide to Sentiment Analysis”


Publisher / Amazon
2017
“Analyzing Linguistic Data”
A Practical Introduction to Statistics using R

Publisher / Amazon
2014
“Anaphora Resolution”
Algorithms, Resources, and Applications

Publisher / Amazon
2016
“Applications of Topic Models”


Publisher / Amazon
2017
“Applied Natural Language Processing with Python”
Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Publisher / Amazon
2019
“Automatic Syntactic Analysis Based on Selectional Preferences”


Publisher / Amazon
2018
“Begriffliche Wissensverarbeitung”
Methoden und Anwendungen

Publisher / Amazon
2013
“Cognitive Approach to Natural Language Processing”


Publisher / Amazon
2017
“Computational Analysis and Understanding of Natural Languages”
Principles, Methods and Applications

Publisher / Amazon
2018
“Corporate Knowledge Discovery and Organizational Learning”
The Role, Importance, and Application of Semantic Business Process Management

Publisher / Amazon
2016
“Current Trends on Knowledge-Based Systems”


Publisher / Amazon
2017
“Data Quality Management with Semantic Technologies”


Publisher / Amazon
2016
“Exploiting Linked Data and Knowledge Graphs for Large Organisations”


Publisher / Amazon
2016
“Fundamentals of Predictive Text Mining”


Publisher / Amazon
2015
“Grammatical Inference”
Algorithms, Routines and Applications

Publisher / Amazon
2017
“Handbook of Semantic Web Technologies”


Publisher / Amazon
2011
“Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data”
First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers

Publisher / Amazon
2016
“Linked Data Management”
Emerging Directions in Database Systems and Applications

Publisher / Amazon
2014
“Linking Enterprise Data”


Publisher / Amazon
2010
“Machine Learning and Cognition in Enterprises”
Business Intelligence Transformed

Publisher / Amazon
2017
“Machine Learning for Text”


Publisher / Amazon
2018
“Natural Language Processing with PyTorch”
Build Intelligent Language Applications Using Deep Learning

Publisher / Amazon
2017
“Natural Language Understanding in a Semantic Web Context”


Publisher / Amazon
2016
“Ontologies-Based Business Integration”


Publisher / Amazon
2008
“Practical Text Analytics”
Maximizing the Value of Your Text Data

Publisher / Amazon
2019
“Practical Text Mining”
… and Statistical Analysis for non-structured Text Data Applications

Amazon
2012
“Prominent Feature Extraction for Sentiment Analysis”


Publisher / Amazon
2016
“Querying a Web of Linked Data”
Foundations and Query Execution

Publisher / Amazon
2016
“Semantic Search on Text and Knowledge Bases”


Publisher / Amazon
2016
“Semantic Web”
Implications for Technologies and Business Practices

Publisher / Amazon
2016
“Semantic Web Technologies for Intelligent Engineering Applications”


Publisher / Amazon
2016
“Semantische Technologien”
Grundlagen. Konzepte. Anwendungen.

Publisher / Amazon
2012
“Sensitivity Analysis”
An Introduction for the Management Scientist

Publisher / Amazon
2017
“Sentic Computing”
A Common-Sense-Based Framework for Concept-Level Sentiment Analysis

Publisher / Amazon
2015
“Sentic Computing”
Techniques, Tools, and Applications

Publisher / Amazon
2012
“Sentiment Analysis and Ontology Engineering”
An Environment of Computational Intelligence

Publisher / Amazon
2016
“Sentiment Analysis in Social Networks”


Publisher / Amazon
2017
“Text Analysis Pipelines”
Towards Ad-hoc Large-Scale Text Mining

Publisher / Amazon
2015
“Text Analysis with R for Students of Literature”


Publisher / Amazon
2014
“Text Mining”
From Ontology Learning to Automated Text Processing Applications

Publisher / Amazon
2014
“Text Mining and Visualization”
Case Studies Using Open-Source Tools

Publisher / Amazon
2015
“Text Mining with R”
A tidy approach

Publisher / Amazon
2017
“The SenticNet Sentiment Lexicon”
Exploring Semantic Richness in Multi-Word Concepts

Publisher / Amazon
2016
“Topic Detection and Classification in Social Networks”
The Twitter Case

Publisher / Amazon
2018
“Wissensmanagement Mit Social Media”
Grundlagen Und Anwendungen

Amazon
2016
“Words and Graphs”


Publisher / Amazon
2016

Agents et al

“Applications of Soft Computing in Time Series Forecasting”
Simulation and Modeling Techniques

Publisher / Amazon
2016
“Complex Agent-Based Models”


Publisher / Amazon
2018
“Distributed Simulation”
A Model Driven Engineering Approach

Publisher / Amazon
2016
“Fireworks Algorithm”
A Novel Swarm Intelligence Optimization Method

Publisher / Amazon
2015
“Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems”


Publisher / Amazon
2017
“Glowworm Swarm Optimization”
Theory, Algorithms, and Applications

Publisher / Amazon
2017
“Guide to Modeling and Simulation of Systems of Systems”


Publisher / Amazon
2017
“Guide to Simulation-Based Disciplines”


Publisher / Amazon
2017
“Introduction to Agent-Based Economics”


Publisher / Amazon
2017
“Introduction to Averaging Dynamics over Networks”


Publisher / Amazon
2018
“Introduction to Business Analytics Using Simulation”


Publisher / Amazon
2016
“Introduction to Scientific Programming and Simulation Using R”


Publisher / Amazon
“Load Modelling and Generation in IP-based Networks”
A Unified Approach and Tool Support

Publisher / Amazon
2017
“Perfect Simulation”


Publisher / Amazon
2015
“Predictive Control”


Publisher / Amazon
2017
“Simulation and the Monte Carlo Method”


Publisher / Amazon
2016
“Simulation stochastischer Systeme”
Eine anwendungsorientierte Einführung

Publisher / Amazon
2016
“Stochastic Analysis for Finance with Simulations”


Publisher / Amazon
2016

R

“A Tiny Handbook of R”


Publisher / Amazon
2011
“Advanced Object-Oriented Programming in R”
Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“Advanced R”
Data Mining and Knowledge Discovery Series

Publisher / Amazon
2014
“Beginning Data Science with R”


Publisher / Amazon
2014
“Beginning R”
An Introduction to Statistical Programming

Publisher / Amazon
2015
“Computational Methods for Numerical Analysis with R”


Publisher / Amazon
2017
“Computerized Adaptive and Multistage Testing with R”
Using Packages catR and mstR

Publisher / Amazon
2017
“Data Mining with R”
Learning with Case Studies

Publisher / Amazon
2010
“Data Mining with Rattle and R”
The Art of Excavating Data for Knowledge Discovery

Publisher / Amazon
2011
“Data Science in R”
A Case Studies Approach to Computational Reasoning and Problem Solving

Publisher / Amazon
2015
“Discovering Statistics using R”


Publisher / Amazon
2012
“Displaying Time Series, Spatial, and Space-Time Data with R”
Code and Methods for Creating High-Quality Data Graphics

Publisher / Amazon
2014
“Domain-Specific Languages in R”
Advanced Statistical Programming

Publisher / Amazon
2019
“Doubly Classified Model with R”


Publisher / Amazon
2017
“Dynamic Documents with R and knitr”


Publisher / Amazon
2015
“Extending R”


Publisher / Amazon
2016
“Functional Data Structures in R”
Advanced Statistical Programming in R

Publisher / Amazon
2018
“Functional Programming in R”
Advanced Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“ggplot2”
Elegant Graphics for Data Analysis

Publisher / Amazon
2016
“Graphical Data Analysis with R”


Publisher / Amazon
2015
“Graphing Data with R”
An Introduction

Publisher / Amazon
2015
“Hands-On Programming with R”
Write Your Own Functions and Simulations

Publisher / Amazon
2014
“Heat Maps in R How-to”
Learn how to design heat maps in R to enhance your data analysis

Publisher / Amazon
2013
“Lattice: Multivariate Data Visualization with R”


Publisher / Amazon
2008
“Learn ggplot2 Using Shiny App”


Publisher / Amazon
2017
“Learning R”
A Step-by-Step Function Guide to Data Analysis

Publisher / Amazon
2013
“Linear Models with R”
Second Edition

Publisher / Amazon
2014
“Machine Learning with R”


Publisher / Amazon
2013
“Mastering RStudio”
Develop, Communicate, and Collaborate with R

Publisher / Amazon
2015
“Mastering Scientific Computing with R”
Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Publisher / Amazon
2015
“Metaprogramming in R”
Advanced Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“Modern Data Science with R”


Publisher / Amazon
2017
“Practical Data Science with R”


Publisher / Amazon
2014
“Practical Graph Mining with R”
Data Mining and Knowledge Discovery Series

Publisher / Amazon
2013
“R For Business Analytics”


Publisher / Amazon
2012
“R for Cloud Computing”
An Approach for Data Scientists

Publisher / Amazon
2014
“R for Programmers”
Advanced Techniques

Publisher / Amazon
2017
“R for Programmers”
Mastering the Tools

Publisher / Amazon
2016
“R Graphics Cookbook”
Practical Recipes for Visualizing Data

Publisher / Amazon
2018
“R Graphs Cookbook”


Publisher / Amazon
2011
“R High Performance Programming”
Overcome performance difficulties in R with a range of exciting techniques and solutions

Publisher / Amazon
2015
“R In A Nutshell”


Publisher / Amazon
2010
“R Markdown”
The Definitive Guide

Publisher / Amazon
2018
“R Recipes”
A Problem-Solution Approach

Publisher / Amazon
2014
“R Through Excel”


Publisher / Amazon
2010
“Reproducible Research with R and R Studio”


Publisher / Amazon
2015
“Software for Data Analysis”
Programming with R

Publisher / Amazon
2009
“Testing R Code”


Publisher / Amazon
2016
“The R Primer”


Publisher / Amazon
2017
“Understanding and Applying Basic Statistical Methods Using R”


Publisher / Amazon
2016
“Using R and RStudio for Data Management, Statistical Analysis, and Graphics”
Improve Your Analytical Skills

Publisher / Amazon
2015
“Using R for Introductory Statistics”
Second Edition

Publisher / Amazon
2014

C++

“Assessing and Improving Prediction and Classification”
and Algorithms in C++

Publisher / Amazon
2017
“Data Mining Algorithms in C++”
Data Patterns and Algorithms for Modern Applications

Publisher / Amazon
2017

.Net

“Machine Learning Projects for .NET Developers”


Publisher / Amazon
2015

Python

“A Primer on Scientific Programming with Python”


Publisher / Amazon
2014
“Beginning Data Science with Python and Jupyter”
Use Powerful Tools to Unlock Actionable Insights From Data

Publisher / Amazon
2018
“Doing Math with Python”
Use Programming to Explore Algebra, Statistics, Calculus, and More!

Publisher / Amazon
2015
“Mastering Machine Learning with Python in Six Steps”
A Practical Implementation Guide to Predictive Data Analytics Using Python

Publisher / Amazon
2017
“Numerical Python”
A Practical Techniques Approach for Industry

Publisher / Amazon
2015
“Practical Python Design Patterns”
Pythonic Solutions to Common Problems

Publisher / Amazon
2017
“Pyomo”
Optimization Modeling in Python

Publisher / Amazon
2017
“Python Data Analytics”
Data Analysis and Science using pandas, matplotlib and the Python Programming Language

Publisher / Amazon
2015
“Python Data Science Handbook”
Essential Tools for Working with Data

Publisher / Amazon
2016
“Python for Graph and Network Analysis”


Publisher / Amazon
2017
“Python for Probability, Statistics, and Machine Learning”


Publisher / Amazon
2016
“Python Machine Learning Case Studies”
Five Case Studies for the Data Scientist

Publisher / Amazon
2017

Scala

“Building a Recommendation Engine with Scala”


Publisher / Amazon
2016
“Scala for Data Science”


Publisher / Amazon
2016
“Scala for Spark in Production”
Fast distributed computing in the enterprise

Publisher / Amazon
2017

Java

“Data Science with Java”
Practical Methods for Scientists and Engineers

Publisher / Amazon
2017
“Java Deep Learning Essentials”


Publisher / Amazon
2016
“Neural Network Programming with Java”


Publisher / Amazon
2016
“Numeric Computation and Statistical Data Analysis on the Java Platform”


Publisher / Amazon
2016
“Practical Java Machine Learning”
Projects with Google Cloud Platform and Amazon Web Services

Publisher / Amazon
2019
“Think Data Structures”
Algorithms and Information Retrieval in Java

Publisher / Amazon
2017

Statistics

“A Course in Mathematical Statistics and Large Sample Theory”


Publisher / Amazon
2016
“A Course in Statistics with R”


Publisher / Amazon
2016
“A Guide to Business Statistics”


Publisher / Amazon
2018
“A Handbook of Statistical Analyses using R”
Third Edition

Publisher / Amazon
2014
“A Parametric Approach to Nonparametric Statistics”


Publisher / Amazon
2018
“Angewandte Statistik”
Methodensammlung mit R

Publisher / Amazon
2012
“Angewandte Statistik mit R”
Eine Einführung für Ökonomen und Sozialwissenschaftler

Publisher / Amazon
2016
“Applied Univariate, Bivariate and Multivariate Statistics”


Publisher / Amazon
2015
“Basic Elements of Computational Statistics”


Publisher / Amazon
2017
“Bayesian Inference”
Data Evaluation and Decisions

Publisher / Amazon
2016
“Circular Statistics in R”


Publisher / Amazon
2014
“Computational Probability”
Algorithms and Applications in the Mathematical Sciences

Publisher / Amazon
2016
“Convex Analysis and Global Optimization”


Publisher / Amazon
2016
“Discrete Probability Models and Methods”
Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Publisher / Amazon
2017
“Elements of Probability and Statistics”
An Introduction to Probability with de Finetti’s Approach and to Bayesian Statistics

Publisher / Amazon
2016
“Elements of Stochastic Calculus and Analysis”


Publisher / Amazon
2018
“Finite Approximations in Discrete-Time Stochastic Control”
Quantized Models and Asymptotic Optimality

Publisher / Amazon
2018
“Fortgeschrittene Multivariate Analysemethoden”
Eine anwendungsorientierte Einführung

Publisher / Amazon
2013
“Foundations of Biostatistics”


Publisher / Amazon
2018
“Foundations of Statistical Algorithms”
With References to R Packages

Publisher / Amazon
2013
“Fundamental Statistical Inference”
A Computational Approach

Publisher / Amazon
2018
“Fundamentals of Probability and Stochastic Processes with Applications to Communications”


Publisher / Amazon
2018
“Handbook of Computational Statistics”
Concepts and Methods

Publisher / Amazon
2004
“Handbook of Financial Econometrics and Statistics”


Publisher / Amazon
2014
“How to Count”
An Introduction to Combinatorics and Its Applications

Publisher / Amazon
2015
“Inferenzstatistik Verstehen”
Von A wie Signifikanztest bis Z wie Konfidenzintervall

Publisher / Amazon
2013
“Introduction to High-Dimensional Statistics”


Publisher / Amazon
2014
“Introduction to Probability, Statistics, and Random Processes”


Amazon
2014
“Introduction to Statistics and Data Analysis”
With Exercises, Solutions and Applications in R

Publisher / Amazon
2016
“Introduction to the Practice of Statistics”


Publisher / Amazon
2017
“Introductory Statistics and Random Phenomena”
Uncertainty, Complexity and Chaotic Behavior in Engineering and Science

Publisher / Amazon
2017
“Introductory Statistics for Business and Economics”
Theory, Exercises and Solutions

Publisher / Amazon
2017
“Intuitive Introductory Statistics”


Publisher / Amazon
2017
“Linear Stochastic Systems”
A Geometric Approach to Modeling, Estimation and Identification

Publisher / Amazon
2015
“Markov Chains”
From Theory to Implementation and Experimentation

Publisher / Amazon
2017
“Matrix Algebra Useful for Statistics”


Publisher / Amazon
2017
“Matrix Analysis for Statistics”


Publisher / Amazon
2016
“Modern Statistical Methods for HCI”


Publisher / Amazon
2016
“New Advances in Statistics and Data Science”


Publisher / Amazon
2017
“Numerical Analysis of Stochastic Processes”


Publisher / Amazon
2018
“Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data”


Publisher / Amazon
2018
“Permutation Statistical Methods”


Publisher / Amazon
2016
“Poisson Point Processes and Their Application to Markov Processes”


Publisher / Amazon
2015
“Practical Business Statistics”


Publisher / Amazon
2016
“Prior Processes and Their Applications”
Nonparametric Bayesian Estimation

Publisher / Amazon
2018
“Probability and Statistics for Computer Science”


Publisher / Amazon
2018
“Probability Distributions”
With Truncated, Log and Bivariate Extensions

Publisher / Amazon
2018
“Probability for Statisticians”


Publisher / Amazon
2017
“Probability Theory and Statistical Applications”
A Profound Treatise for Self-Study

Publisher / Amazon
2016
“Statistical Analysis and Data Display”
An Intermediate Course with Examples in R

Publisher / Amazon
2015
“Statistical Distributions”
Applications and Parameter Estimates

Publisher / Amazon
2017
“Statistical Modelling of Survival Data with Random Effects”


Publisher / Amazon
2017
“Statistical Shape Analysis”
With Applications in R

Publisher / Amazon
2016
“Statistics”
Concepts and Controversies

Publisher / Amazon
2017
“Statistics (The Easier Way) with R”
An informal text on applied statistics

Publisher / Amazon
2015
“Statistics for High-Dimensional Data”
Methods, Theory and Applications

Publisher / Amazon
2011
“Statistics for Mathematicians”
A Rigorous First Course

Publisher / Amazon
2016
“Statistics for Non-Statisticians”


Publisher / Amazon
2016
“Statistics from A to Z”
Confusing Concepts Clarified

Publisher / Amazon
2017
“Stochastic Analysis of Mixed Fractional Gaussian Processes”


Publisher / Amazon
2018
“Stochastic Modeling”


Publisher / Amazon
2017
“Stochastic Models for Time Series”


Publisher / Amazon
2018
“Stochastic Processes”


Publisher / Amazon
2017
“Taschenbuch der Statistik”


Publisher / Amazon
2008
“Theory of Nonparametric Tests”


Publisher / Amazon
2018
“Theory of Probability”
A critical introductory treatment

Publisher / Amazon
2017
“Topics in Theoretical and Applied Statistics”


Publisher / Amazon
2016

Aggregation

“A Practical Guide to Averaging Functions”


Publisher / Amazon
2016
“Aggregated Search”


Publisher / Amazon
2017
“Aggregation Functions”


Publisher / Amazon
2009
“Aggregation Functions”
A Guide for Practitioners

Publisher / Amazon
2008
“Aggregation Functions in Theory and in Practice”


Publisher / Amazon
2018
“Aggregation Functions in Theory and in Practise”
Proceedings of the 7th International Summer School on Aggregation Operators

Publisher / Amazon
2013
“An Introduction to Copulas”


Publisher / Amazon
2007
“An Introduction to Data Analysis using Aggregation Functions in R”


Publisher / Amazon
2016
“Context-Enhanced Information Fusion”
Boosting Real-World Performance with Domain Knowledge

Publisher / Amazon
2016
“Data Fusion in Information Retrieval”


Publisher / Amazon
2012
“Dependence Modeling with Copulas”
Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data

Publisher / Amazon
2014
“Design of Interpretable Fuzzy Systems”


Publisher / Amazon
2017
“Elements of Copula Modeling with R”


Publisher / Amazon
2018
“Fusion Methodologies in Crisis Management”
Higher Level Fusion and Decision Making

Publisher / Amazon
2016
“Handbook of Means and their Inequalities”


Publisher / Amazon
2009
“Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation”


Publisher / Amazon
2016
“Intuitionistic Fuzzy Information Aggregation”
Theory and Applications

Publisher / Amazon
2012
“Markov Chain Aggregation for Agent-Based Models”


Publisher / Amazon
2016
“Modeling Decisions”
Information Fusion and Aggregation Operators

Publisher / Amazon
2007
“Modeling Decisions for Artificial Intelligence”
Second Internatuional Conference, MDAI 2005

Publisher / Amazon
2008
“Non-Cooperative Target Tracking, Fusion and Control”
Algorithms and Advances

Publisher / Amazon
2018
“Principles of Applied Remote Sensing”


Publisher / Amazon
2016
“Probabilistic Metric Spaces”


Publisher / Amazon
2005
“Risikoaggregation in der Praxis”
Beispiele und Verfahren aus dem Risikomanagement von Unternehmen

Publisher / Amazon
2008

Causal Inference

“An Introduction to Causal Inference”


Amazon
2015
“Causal Analytics for Applied Risk Analysis”


Publisher / Amazon
2018
“Causal Inference in Econometrics”


Publisher / Amazon
2016
“Causal Inference in Statistics”
A Primer

Publisher / Amazon
2016
“Causality”


Amazon
2009
“Causation in Population Health Informatics and Data Science”


Publisher / Amazon
2019
“Counterfactuals and Causal Inference”
Methods And Principles For Social Research

Publisher / Amazon
2015
“Elements of Causal Inference”
Foundations and Learning Algorithms

Publisher / Amazon
2018
“Making Things Happen”
A Theory of Causal Explanation

Publisher / Amazon
2005
“Measuring Uncertainty within the Theory of Evidence”
Advances within the Theory of Evidence

Publisher / Amazon
2018
“Noncausal Stochastic Calculus”


Publisher / Amazon
2017
“Physical (A)Causality”
Determinism, Randomness and Uncaused Events

Publisher / Amazon
2018
“Statistics and Causality”
Methods for Applied Empirical Research

Publisher / Amazon
2016
“Targeted Learning in Data Science”
Causal Inference for Complex Longitudinal Studies

Publisher / Amazon
2018
“The Book of Why”
The New Science of Cause and Effect

Publisher / Amazon
2018
“The Philosophy of Causal Inference in Public Health Informatics”


Publisher / Amazon
2019

Decision Making

“Advances in Fuzzy Decision Making”
Theory and Practice

Publisher / Amazon
2015
“Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging”


Publisher / Amazon
2018
“Bounded Rationality in Decision Making Under Uncertainty”
Towards Optimal Granularity

Publisher / Amazon
2018