Books

Book Series \| Collections \| Analytics \| Semantic Analytics \| Agents et al \| R \| Julia \| C++ \| .Net \| Python \| Scala \| Java \| Ethics \| Statistics \| Aggregation \| Causal Inference \| Decision Making \| Mathematics \| Visualization \| Miscellaneous \| Data Management \| Internet of Things \| BI
\|Books\| = 1500
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 Computational Approach to Statistical Learning” Publisher / Amazon	2019
	“A Distributed Linear Programming Models in a Smart Grid” Publisher / Amazon	2017
	“A First Course in Machine Learning” Second Edition Publisher / Amazon	2016
	“A Machine Learning Model for Improving Healthcare on Cloud Computing” Publisher / Amazon	2019
	“A Practical Guide to Analytics for Governments” Using Big Data for Good Publisher / Amazon	2017
	“A Primer for Computational Biology” 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 Resonance Theory in Social Media Data Clustering” Roles, Methodologies, and Applications Publisher / Amazon	2019
	“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 Deep Learning with Keras” Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more 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 R Statistical Programming and Data Models” Analysis, Machine Learning, and Visualization Publisher / Amazon	2019
	“Advanced Statistical Methods in Data Science” Publisher / Amazon	2016
	“Advanced Statistics for the Behavioral Sciences” A Computational Approach with R Publisher / Amazon	2018
	“Advanced Time Series Data Analysis” Forecasting Using EViews Publisher / Amazon	2019
	“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
	“Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites” Publisher / Amazon	2019
	“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
	“All Data Are Local” Thinking Critically in a Data-Driven Society Publisher / Amazon	2019
	“An Economic Interpretation of Linear Programming” Publisher / Amazon	2015
	“An Introduction to Data” Everything You Need to Know About AI, Big Data and Data Science Publisher / Amazon	2019
	“An Introduction to Fuzzy Linear Programming Problems” Theory, Methods and Applications Publisher / Amazon	2016
	“An Introduction to Machine Learning” Publisher / Amazon	2019
	“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 Compositional Data Analysis” With Worked Examples in R Publisher / Amazon	2018
	“Applied Data Science” Lessons Learned for the Data-Driven Business Publisher / Amazon	2019
	“Applied Fourier Analysis” From Signal Processing to Medical Imaging Publisher / Amazon	2017
	“Applied Machine Learning” Publisher / Amazon	2019
	“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” A Practical Guide to Modeling and Forecasting Publisher / Amazon	2019
	“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
	“Applying Predictive Analytics” Finding Value in Data Publisher / Amazon	2019
	“Approximation and Optimization” Algorithms, Complexity and Applications 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 Brings Positive or Negative Impaction to” Influence Human Job Nature Amazon	2019
	“Artificial Intelligence Engines” A Tutorial Introduction to the Mathematics of Deep Learning Amazon	2019
	“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 in IoT” Publisher / Amazon	2019
	“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
	“Artificial Neural Networks with Java” Tools for Building Neural Network Applications Publisher / Amazon	2019
	“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
	“Asymptotic Nonparametric Statistical Analysis of Stationary Time Series” Publisher / Amazon	2019
	“Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning” Publisher	2018
	“Automated Machine Learning” Publisher / Amazon	2019
	“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 Science and Analytics for Smart Sustainable Urbanism” Unprecedented Paradigmatic Shifts and Practical Advancements Publisher / Amazon	2019
	“Big Data Technologies and Applications” Publisher / Amazon	2016
	“Big Data, Cloud Computing, and Data Science Engineering” Publisher / Amazon	2020
	“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
	“Bringing Bayesian Models to Life” Publisher / Amazon	2019
	“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 Machine Learning Powered Applications” Going from Idea to Product Publisher / Amazon	2019
	“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
	“Business Statistics Using R” Publisher / Amazon	2019
	“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
	“Centrality and Diversity in Search” Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition Publisher / Amazon	2019
	“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
	“Clustering Methods for Big Data Analytics” Techniques, Toolboxes and Applications Publisher / Amazon	2019
	“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” Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze Publisher / Amazon	2015
	“Computational Intelligence” Probleme, Methoden Und Technische Anwendungen Amazon	2016
	“Computational Intelligence” A Methodological Introduction Publisher / Amazon	2016
	“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 Methods for Data Analysis” Publisher / Amazon	2019
	“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
	“Covariance Modelling” Amazon	2019
	“Creativity in Intelligent Technologies and Data Science” Third Conference, CIT&DS 2019, Volgograd, Russia, September 16-19, 2019, Proceedings Publisher / Amazon	2019
	“Customer Churn Prediction Using Machine Learning Technique” Publisher	2019
	“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 Clustering and Image Segmentation Through Genetic Algorithms” Emerging Research and Opportunities Publisher / Amazon	2019
	“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” The Textbook Publisher / Amazon	2015
	“Data Mining” Amazon	2016
	“Data Mining” Practical Machine Learning Tools and Techniques Publisher / Amazon	2016
	“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” 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” Publisher / Amazon	2018
	“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 Healthcare” Methodologies and Applications Publisher / Amazon	2019
	“Data Science for Supply Chain Forecast” Amazon	2018
	“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
	“Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods” Publisher / Amazon	2019
	“Decision Tree and Ensemble Learning Based on Ant Colony Optimization” Publisher / Amazon	2019
	“Deep Learning” Fundamentals, Theory and Applications Publisher / Amazon	2019
	“Deep Learning” Convergence to Big Data Analytics 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 for Natural Language Processing” Solve your natural language processing problems with smart deep neural networks Publisher / Amazon	2019
	“Deep Learning for Search” Publisher / Amazon	2019
	“Deep Learning for the Life Sciences” Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More Publisher / Amazon	2019
	“Deep Learning From First Principles” In vectorized Python, R and Octave Amazon	2018
	“Deep Learning through Sparse and Low-Rank Modeling” Publisher / Amazon	2019
	“Deep Learning with Python” A Hands-on Introduction Publisher / Amazon	2017
	“Deep Reinforcement Learning for Wireless Networks” Publisher / Amazon	2019
	“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
	“Embedded Deep Learning” Algorithms, Architectures and Circuits for Always-on Neural Network Processing Publisher / Amazon	2019
	“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	2016
	“Environmental Data Analysis” Methods and Applications Publisher / Amazon	2017
	“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
	“Explainable and Interpretable Models in Computer Vision and Machine Learning” Publisher / Amazon	2018
	“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
	“Flood Forecasting Using Machine Learning Methods” Publisher / Amazon	2019
	“Forecast Error Correction using Dynamic Data Assimilation” Publisher / Amazon	2016
	“Forecasting” An Essential Introduction Publisher / Amazon	2019
	“Forecasting with the Theta Method” Theory and Applications Publisher / Amazon	2019
	“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 Data Science” A Practical Introduction to Data Science with Python Publisher / Amazon	2020
	“Foundations of Predictive Analytics” Publisher / Amazon	2012
	“Fourier Analysis of Economic Phenomena” Publisher / Amazon	2018
	“Frameworks for Distributed Big Data Processing” A Comparison in the Domain of Predictive Maintenance 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 Data to Decision” A Handbook for the Modern Business Analyst Publisher / Amazon	2019
	“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” Publisher / Amazon	2016
	“Generalized Low Rank Models” Publisher / Amazon	2016
	“Generalized Principal Component Analysis” Publisher / Amazon	2016
	“Generative Adversarial Networks Projects” Build next-generation generative models using TensorFlow and Keras Publisher / Amazon	2018
	“Generative Deep Learning” Teaching Machines to Paint, Write, Compose, and Play Publisher / Amazon	2019
	“Genetic Algorithm Essentials” Publisher / Amazon	2017
	“Genetic Algorithms in Java Basics” Publisher / Amazon	2015
	“Genetic Programming Theory and Practice XIII” Publisher / Amazon	2017
	“Genetic Programming Theory and Practice XVI” Publisher / Amazon	2019
	“Genome Data Analysis” Publisher / Amazon	2018
	“Granular Computing Based Machine Learning” A Big Data Processing Approach Publisher / Amazon	2018
	“Granular-Relational Data Mining” How to Mine Relational Data in the Paradigm of Granular Computing? Publisher / Amazon	2017
	“Graph Algorithms” Practical Examples in Apache Spark and Neo4j Publisher / Amazon	2019
	“Graph Analysis and Visualization” Discovering Business Opportunity in Linked Data Publisher / Amazon	2015
	“Graph-Based Social Media Analysis” Publisher / Amazon	2015
	“Graph-Powered Machine Learning” Publisher	2019
	“Grey Data Analysis” Methods, Models and Applications Publisher / Amazon	2017
	“Grokking Deep Learning” Publisher / Amazon	2019
	“Grouping Genetic Algorithms” Advances and Applications Publisher / Amazon	2016
	“Guide to Competitive Programming” Learning and Improving Algorithms Through Contests Publisher / Amazon	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” Publisher / Amazon	2017
	“Handbook of Deep Learning Applications” Publisher / Amazon	2019
	“Handbook of Discrete-Valued Time Series” Publisher / Amazon	2015
	“Handbook of Graphical Models” Publisher / Amazon	2018
	“Handbook of Heuristics” Publisher / Amazon	2018
	“Handbook of Item Response Theory” Volume One: Models Publisher / Amazon	2016
	“Handbook of Metaheuristics” Publisher / Amazon	2019
	“Handbook of Metaheuristics” Publisher / Amazon	2010
	“Handbook of Missing Data Methodology” Publisher / Amazon	2014
	“Handbook of Mixed Membership Models and Their Applications” Publisher / Amazon	2014
	“Handbook of Model Checking” Publisher / Amazon	2018
	“Handbook of Model Predictive Control” Publisher / Amazon	2019
	“Handbook of Neural Computation” Publisher / Amazon	2017
	“Handbook of Operations Analytics Using Data Envelopment Analysis” Publisher / Amazon	2016
	“Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering” Publisher / Amazon	2018
	“Handbook of Robust Low-Rank and Sparse Matrix Decomposition” Applications in Image and Video Processing Publisher / Amazon	2016
	“Handbook of Signal Processing Systems” Publisher / Amazon	2018
	“Handbook of Statistical Analysis and Data Mining Applications” 2nd Edition Publisher / Amazon	2017
	“Handbook of Statistical Analysis and Data Mining Applications” Publisher / Amazon	2009
	“Handbook of Statistical Methods and Analyses in Sports” Publisher / Amazon	2016
	“Handbook of Survival Analysis” Publisher / Amazon	2013
	“Handbook of Uncertainty Quantification” Publisher / Amazon	2017
	“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Concepts, Tools, and Techniques for Building Intelligent Systems Publisher / Amazon	2017
	“Hands-On Unsupervised Learning Using Python” How to Build Applied Machine Learning Solutions from Unlabeled Data Publisher / Amazon	2019
	“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” Publisher / Amazon	2015
	“Heuristic Search” The Emerging Science of Problem Solving Publisher / Amazon	2017
	“Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling” Publisher / Amazon	2016
	“Hidden Markov Models for Time Series” An Introduction Using R Publisher / Amazon	2016
	“Hidden Semi-Markov Models” Theory, Algorithms and Applications Publisher / Amazon	2015
	“High Performance Data Mining and Big Data Analytics” The Story of Insight from Big Data Publisher / Amazon	2014
	“High-Utility Pattern Mining” Theory, Algorithms and Applications Publisher / Amazon	2019
	“Human Activity Recognition and Prediction” Publisher / Amazon	2016
	“Human Re-Identification” Publisher / Amazon	2016
	“Hybrid Intelligence for Social Networks” Publisher / Amazon	2018
	“Hybrid Metaheuristics for Image Analysis” Publisher / Amazon	2018
	“Hyper-lattice Algebraic Model for Data Warehousing” Publisher / Amazon	2016
	“Independent Random Sampling Methods” Publisher / Amazon	2018
	“Inference for Heavy-Tailed Data” Applications in Insurance and Finance Publisher / Amazon	2017
	“Information Fusion for Cyber-Security Analytics” Publisher / Amazon	2016
	“Infrastruktur für ein Data Mining Design Framework” Eine Untersuchung mit Fallbeispielen Publisher / Amazon	2018
	“Insight into Fuzzy Modeling” Publisher / Amazon	2016
	“Intelligent City Evaluation System” Publisher / Amazon	2018
	“Intelligent Computing Systems” Emerging Application Areas Publisher / Amazon	2016
	“Intelligent Data Analysis” An Introduction Publisher / Amazon	2006
	“Intelligent Natural Language Processing” Trends and Applications Publisher / Amazon	2018
	“Intelligent Techniques for Data Science” Publisher / Amazon	2016
	“Intelligent Transportation Systems” Dependable Vehicular Communications for Improved Road Safety Publisher / Amazon	2016
	“Interpretability of Computational Intelligence-Based Regression Models” Publisher / Amazon	2015
	“Interval-valued Methods in Classifications and Decisions” Publisher / Amazon	2019
	“Introduction to Artificial Intelligence” Publisher / Amazon	2017
	“Introduction to Artificial Intelligence” Publisher / Amazon	2016
	“Introduction to Bayesian Statistics” Publisher / Amazon	2016
	“Introduction to Data Science” A Python Approach to Concepts, Techniques and Applications Publisher / Amazon	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 Publisher / Amazon	2017
	“Introduction to Learning Classifier Systems” Publisher / Amazon	2017
	“Introduction to modern Time Series Analysis” Publisher / Amazon	2008
	“Introduction to Nature-Inspired Optimization” Publisher / Amazon	2017
	“Introduction to Nonparametric Statistics for the Biological Sciences Using R” Publisher / Amazon	2016
	“Introduction to Probability with Statistical Applications” Publisher / Amazon	2016
	“Introduction to Scientific Computing and Data Analysis” Publisher / Amazon	2016
	“Introduction to Statistical Analysis of Laboratory Data” Publisher / Amazon	2016
	“Introduction to Statistical Machine Learning” Publisher / Amazon	2015
	“Introduction to the Modeling and Analysis of Complex Systems” Publisher / Amazon	2015
	“Introduction to Time Series and Forecasting” Publisher / Amazon	2016
	“Introduction to Time Series Forecasting With Python” Publisher	2017
	“Issues in the Use of Neural Networks in Information Retrieval” Publisher / Amazon	2017
	“Iterative Learning Control for Multi-agent Systems Coordination” Publisher / Amazon	2017
	“Java Data Mining” Strategy, Standard, and Practice. A Practical Guide for Architecture, Design, and Implementation Publisher / Amazon	2006
	“Jaya” An Advanced Optimization Algorithm and its Engineering Applications Publisher / Amazon	2019
	“Joint Modeling of Longitudinal and Time-to-Event Data” Publisher / Amazon	2016
	“Künstliche Intelligenz” Publisher / Amazon	2004
	“Kalman Filtering” with Real-Time Applications Publisher / Amazon	2017
	“Keras to Kubernetes” The Journey of a Machine Learning Model to Production Publisher / Amazon	2019
	“Kernel Mean Embedding of Distributions” A Review and Beyond Publisher / Amazon	2017
	“Knowledge Transfer between Computer Vision and Text Mining” Similarity-based Learning Approaches Publisher / Amazon	2016
	“Large-Scale and Distributed Optimization” Publisher / Amazon	2018
	“Large-Scale Graph Processing Using Apache Giraph” Publisher / Amazon	2017
	“Lasso-MPC – Predictive Control with 1-Regularised Least Squares” Publisher / Amazon	2016
	“Learning Analytics” Measurement Innovations to Support Employee Development Publisher / Amazon	2016
	“Learning Analytics in R with SNA, LSA, and MPIA” Publisher / Amazon	2016
	“Learning Systems” From Theory to Practice Publisher / Amazon	2018
	“Learning TensorFlow” A Guide to Building Deep Learning Systems Publisher / Amazon	2017
	“Lecture Notes in Real-Time Intelligent Systems” Publisher / Amazon	2018
	“Lifelong Machine Learning” Publisher / Amazon	2018
	“Likelihood-Free Methods for Cognitive Science” Publisher / Amazon	2018
	“Linear Algebra and Learning from Data” Publisher / Amazon	2019
	“Linear and Nonlinear Optimization” Publisher / Amazon	2017
	“Linear and Nonlinear Programming” Publisher / Amazon	2016
	“Linear Programming” Foundations and Extensions Publisher / Amazon	2014
	“Linear Regression” Publisher / Amazon	2017
	“Link Prediction in Social Networks” Role of Power Law Distribution Publisher / Amazon	2016
	“Logistics, Supply Chain and Financial Predictive Analytics” Theory and Practices Publisher / Amazon	2019
	“Longitudinal Data Analysis” Autoregressive Linear Mixed Effects Models Publisher / Amazon	2019
	“Loss Data Analysis” Publisher / Amazon	2018
	“Low-Rank Models in Visual Analysis” Theories, Algorithms, and Applications Publisher / Amazon	2017
	“Machine Intelligence” Demystifying Machine Learning, Neural Networks and Deep Learning Publisher / Amazon	2019
	“Machine Intelligence and Big Data in Industry” Publisher / Amazon	2016
	“Machine Learners” Archaeology of a Data Practice Publisher / Amazon	2017
	“Machine Learning” A Practical Approach on the Statistical Learning Theory Publisher / Amazon	2018
	“Machine Learning” An overview with the help of R software Publisher / Amazon	2018
	“Machine Learning” Algorithms and Applications Publisher / Amazon	2016
	“Machine Learning” A Concise Introduction Publisher / Amazon	2018
	“Machine Learning” A Concise Introduction Publisher / Amazon	2018
	“Machine Learning” The Art and Science of Algorithms that Make Sense of Data Publisher / Amazon	2012
	“Machine Learning” A Probabilistic Perspective Publisher / Amazon	2012
	“Machine Learning and AI for Healthcare” Big Data for Improved Health Outcomes Publisher / Amazon	2019
	“Machine Learning and Artificial Intelligence” Publisher / Amazon	2020
	“Machine Learning and Security” Protecting Systems with Data and Algorithms Publisher / Amazon	2018
	“Machine Learning for Audio, Image and Video Analysis” Theory and Applications Publisher / Amazon	2015
	“Machine Learning for Big Data Analyis” Publisher / Amazon	2018
	“Machine Learning for Evolution Strategies” Publisher / Amazon	2016
	“Machine Learning For Hackers” Publisher / Amazon	2012
	“Machine Learning for Mobile” Practical guide to building intelligent mobile applications powered by machine learning Publisher / Amazon	2019
	“Machine Learning for Model Order Reduction” Publisher / Amazon	2018
	“Machine Learning for the Quantified Self” On the Art of Learning from Sensory Data Publisher / Amazon	2018
	“Machine Learning in Complex Networks” Publisher / Amazon	2016
	“Machine Learning in Python” Essential Techniques for Predictive Analysis Publisher / Amazon	2019
	“Machine Learning in Python” Essential Techniques for Predictive Analysis Publisher / Amazon	2015
	“Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video” Publisher	2018
	“Machine Learning Models and Algorithms for Big Data Classification” Thinking with Examples for Effective Learning Publisher / Amazon	2016
	“Machine Learning Paradigms” Advances in Data Analytics Publisher / Amazon	2019
	“Machine Learning Paradigms” Artificial Immune Systems and their Applications in Software Personalization Publisher / Amazon	2016
	“Machine Learning Paradigms” Applications in Recommender Systems Publisher / Amazon	2015
	“Machine Learning Paradigms” Theory and Application Publisher / Amazon	2019
	“Machine Learning Pocket Reference” Working with Structured Data in Python Publisher / Amazon	2019
	“Machine Learning Risk Assessments in Criminal Justice Settings” Publisher / Amazon	2019
	“Machine Learning Techniques for Online Social Networks” Publisher	2019
	“Machine Learning Using R” With Time Series and Industry-Based Use Cases in R Publisher / Amazon	2019
	“Machine Learning Using R” Publisher / Amazon	2017
	“Machine Learning with PySpark” With Natural Language Processing and Recommender Systems Publisher	2019
	“Machine Learning with the Elastic Stack” Expert techniques to integrate machine learning with distributed search and analytics. Publisher / Amazon	2019
	“Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment” Publisher / Amazon	2020
	“Machine Scheduling to Minimize Weighted Completion Times” The Use of the a-point Publisher / Amazon	2018
	“Machine-learning Techniques in Economics” New Tools for Predicting Economic Growth Publisher / Amazon	2017
	“Managing and Mining Graph Data” Advances in Database Systems Publisher / Amazon	2012
	“Market Segmentation Analysis” Understanding It, Doing It, and Making It Useful Publisher / Amazon	2018
	“Marketing Analytics” Data-Driven Techniques with Microsoft Excel Publisher / Amazon	2014
	“Marketing Analytics” A Practical Guide to Improving Consumer Insights Using Data Techniques Publisher / Amazon	2017
	“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 Publisher / Amazon	2015
	“Mastering Machine Learning Algorithms” Publisher / Amazon	2018
	“Mastering Machine Learning with R” Publisher / Amazon	2015
	“Mastering Text Mining with R” Master text-taming techniques and build effective text-processing applications with R Publisher / Amazon	2016
	“Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases” Publisher / Amazon	2018
	“Mathematical Problems in Data Science” Theoretical and Practical Methods Publisher / Amazon	2015
	“MATLAB Deep Learning” With Machine Learning, Neural Networks and Artificial Intelligence Publisher / Amazon	2017
	“MATLAB Machine Learning Recipes” A Problem-Solution Approach Publisher / Amazon	2018
	“Matrix and Tensor Factorization Techniques for Recommender Systems” Publisher / Amazon	2017
	“Matrix-Based Introduction to Multivariate Data Analysis” Publisher / Amazon	2016
	“Maximum-Entropy Networks” Pattern Detection, Network Reconstruction and Graph Combinatorics Publisher / Amazon	2017
	“Means in Mathematical Analysis” Bivariate Means Publisher / Amazon	2017
	“Measures of Complexity” Festschrift for Alexey Chervonenkis Publisher / Amazon	2015
	“Measuring and Analysing the Use of Ontologies” A Semantic Framework for Measuring Ontology Usage Publisher / Amazon	2018
	“Medical Decision Making” A Health Economic Primer Publisher / Amazon	2017
	“Meta-Analysis” A Structural Equation Modeling Approach Publisher / Amazon	2015
	“Meta-Analytic Structural Equation Modelling” Publisher / Amazon	2015
	“Meta-heuristic and Evolutionary Algorithms for Engineering Optimization” Publisher / Amazon	2018
	“Metaheuristics” Publisher / Amazon	2016
	“Mining Latent Entity Structures” Publisher / Amazon	2015
	“Mining Multimedia Documents” Publisher / Amazon	2017
	“Mining the Social Web” Publisher / Amazon	2018
	“Missing Data Analysis in Practice” Publisher / Amazon	2015
	“Mixed Effects Models for the Population Approach” Models, Tasks, Methods and Tools Publisher / Amazon	2014
	“Mixed Intelligent Systems” Developing Models for Project Management and Evaluation Publisher / Amazon	2018
	“Mixture Model-Based Classification” Publisher / Amazon	2016
	“Mobile Data Mining and Applications” Publisher / Amazon	2019
	“Model Averaging” Publisher / Amazon	2019
	“Model Predictive Control” Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model Publisher / Amazon	2019
	“Model-Free Prediction and Regression” A Transformation-Based Approach to Inference Publisher / Amazon	2015
	“Modeling Discrete Time-to-Event Data” Publisher / Amazon	2016
	“Modeling Discrete-Event Systems with GPenSIM” An Introduction Publisher / Amazon	2018
	“Modeling Techniques in Predictive Analytics” Business Problems and Solutions with R Publisher / Amazon	2013
	“Modeling with Rules Using Semantic Knowledge Engineering” Publisher / Amazon	2018
	“Modern Algorithms of Cluster Analysis” Publisher / Amazon	2019
	“Modern Analysis of Customer Surveys” with Applications using R Publisher / Amazon	2012
	“Modern Bayesian Statistics in Clinical Research” Publisher / Amazon	2018
	“Monte-Carlo Simulation-Based Statistical Modeling” Publisher / Amazon	2017
	“Movie Analytics” A Hollywood Introduction to Big Data Publisher / Amazon	2015
	“Multicriteria Analysis in Agriculture” Current Trends and Recent Applications Publisher / Amazon	2018
	“Multicriteria and Clustering” Classification Techniques in Agrifood and Environment Publisher / Amazon	2017
	“Multimedia Content Analysis” Publisher / Amazon	2016
	“Multimodal Analysis of User-Generated Multimedia Content” Publisher / Amazon	2017
	“Multimodal Optimization by Means of Evolutionary Algorithms” Publisher / Amazon	2015
	“Multiobjective Linear and Integer Programming” Publisher / Amazon	2016
	“Multiobjective Linear Programming” An Introduction Publisher / Amazon	2016
	“Multi-Objective Optimization Problems” Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications Publisher / Amazon	2017
	“Multi-Period Trading via Convex Optimization” Publisher / Amazon	2017
	“Multiple Criteria Decision Analysis” State of the Art Surveys Publisher / Amazon	2016
	“Multiple Criteria Decision Making by Multiobjective Optimization” Publisher / Amazon	2016
	“Multiple Instance Learning” Foundations and Algorithms Publisher / Amazon	2016
	“Multivariable Dynamic Calculus on Time Scales” Publisher / Amazon	2016
	“Multivariate Modelling of Non-Stationary Economic Time Series” Publisher / Amazon	2017
	“Multivariate Survival Analysis and Competing Risks” Publisher / Amazon	2016
	“Multivariate Time Series With Linear State Space Structure” Publisher / Amazon	2016
	“Multiview Machine Learning” Publisher / Amazon	2019
	“Multiview Machine Learning for Data Analysis” Publisher / Amazon	2019
	“Nature Inspired Optimization Techniques for Image Processing Applications” Publisher / Amazon	2019
	“Nature-Inspired Algorithms and Applied Optimization” Publisher / Amazon	2018
	“Nature-Inspired Computation in Data Mining and Machine Learning” Publisher / Amazon	2020
	“Nature-Inspired Optimization Algorithms” Publisher / Amazon	2016
	“Nature-Inspired Optimizers” Theories, Literature Reviews and Applications Publisher / Amazon	2019
	“Network Analysis Literacy” A Practical Approach to the Analysis of Networks Publisher / Amazon	2016
	“Network Data Envelopment Analysis” Foundations and Extensions Publisher / Amazon	2016
	“Network Role Mining and Analysis” Publisher / Amazon	2017
	“Network Traffic Anomaly Detection and Prevention” Concepts, Techniques, and Tools Publisher / Amazon	2017
	“Neural Network Driven Artificial Intelligence” Decision Making Based on Fuzzy Logic Publisher / Amazon	2017
	“Neural Networks and Deep Learning” A Textbook Publisher / Amazon	2018
	“Neural Networks and Statistical Learning” 2nd edition Publisher / Amazon	2019
	“Neural Networks and Statistical Learning” Publisher / Amazon	2014
	“New Approaches in Intelligent Image Analysis” Techniques, Methodologies and Applications Publisher / Amazon	2016
	“New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks” Publisher / Amazon	2016
	“New Directions on Model Predictive Control” Publisher / Amazon	2019
	“New Introduction to Multiple Time Series Analysis” Publisher	2005
	“Non-Convex Multi-Objective Optimization” Publisher / Amazon	2017
	“Nonlinear Principal Component Analysis and Its Applications” Publisher / Amazon	2016
	“Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments” Publisher / Amazon	2016
	“Non-negative Matrix Factorization Techniques” Advances in Theory and Applications Publisher / Amazon	2016
	“Nonsmooth Optimization and Its Applications” Publisher / Amazon	2019
	“Novel Applications of Intelligent Systems” Publisher / Amazon	2016
	“Numerical Methods” Using MATLAB Publisher / Amazon	2018
	“Numerical Optimization” Publisher / Amazon	2006
	“Numerical Probability” An Introduction with Applications to Finance Publisher / Amazon	2018
	“Online Algorithms for the Portfolio Selection Problem” Publisher / Amazon	2016
	“Online Portfolio Selection” Principles and Algorithms Publisher / Amazon	2015
	“Open Problems in Optimization and Data Analysis” Publisher / Amazon	2018
	“Operational Modal Analysis” Modeling, Bayesian Inference, Uncertainty Laws Publisher / Amazon	2017
	“Operators for Similarity Search” Semantics, Techniques and Usage Scenarios Publisher / Amazon	2015
	“Optimization and Approximation” Publisher / Amazon	2017
	“Optimization and Decision Support Systems for Supply Chains” Publisher / Amazon	2017
	“Optimization by GRASP” Greedy Randomized Adaptive Search Procedures Publisher / Amazon	2016
	“Optimization in Engineering: Models and Algorithms” Models and Algorithms Publisher / Amazon	2017
	“Optimization of Energy Supply Systems” Modelling, Programming and Analysis Publisher / Amazon	2019
	“Outlier Analysis” Publisher / Amazon	2017
	“Outlier Analysis” Publisher / Amazon	2017
	“Outlier Detection: Techniques and Applications” A Data Mining Perspective Publisher / Amazon	2019
	“Outlier Ensembles” An Introduction Publisher / Amazon	2017
	“Parallel Computing for Data Science” With Examples in R, C++ and CUDA Publisher / Amazon	2015
	“Parallelism in Matrix Computations” Publisher / Amazon	2015
	“Partial Least Squares Structural Equation Modeling” Recent Advances in Banking and Finance Publisher / Amazon	2018
	“Partitional Clustering Algorithms” Publisher / Amazon	2014
	“Pattern Classification of Biomedical Image Time-Series” Computer Aided Diagnosis Publisher / Amazon	2017
	“Pattern Mining with Evolutionary Algorithms” Publisher / Amazon	2016
	“Patterns of Scalable Bayesian Inference” Foundations and Trends in Machine Learning Publisher / Amazon	2016
	“Pedometrics” Publisher / Amazon	2018
	“People Analytics in the Era of Big Data” Changing the Way You Attract, Acquire, Develop, and Retain Talent Publisher / Amazon	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 Publisher / Amazon	2019
	“Perspectives on Data Science for Software Engineering” Publisher / Amazon	2016
	“Plan Prediction” Which Policy is Preferred by Which People? Publisher / Amazon	2017
	“Point Processes for Reliability Analysis” Shocks and Repairable Systems Publisher / Amazon	2019
	“Point Processes for Reliability Analysis” Shocks and Repairable Systems Publisher / Amazon	2018
	“Post, Mine, Repeat” Social Media Data Mining Becomes Ordinary Publisher / Amazon	2016
	“Practical Automated Machine Learning on Azure” sing AutoML to Build and Deploy Intelligent Solutions Publisher / Amazon	2019
	“Practical Data Science” A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets Publisher / Amazon	2018
	“Practical Graph Analytics with Apache Giraph” Publisher / Amazon	2015
	“Practical Guide to Logistic Regression” Publisher / Amazon	2015
	“Practical Guide To Principal Component Methods in R” Publisher / Amazon
	“Practical Hive” A Guide to Hadoop’s Data Warehouse System Publisher / Amazon	2016
	“Practical Machine Learning and Image Processing” For Facial Recognition, Object Detection, and Pattern Recognition Using Python Publisher / Amazon	2019
	“Practical Recommender Systems” Publisher / Amazon	2019
	“Practical Time Series Analysis” Prediction with Statistics and Machine Learning Publisher / Amazon	2019
	“Pragmatic AI” An Introduction to Cloud-Based Machine Learning Publisher / Amazon	2018
	“Predicting Stock Returns” Implications for Asset Pricing Publisher / Amazon	2018
	“Prediction and Inference from Social Networks and Social Media” Publisher / Amazon	2017
	“Predictive Analytics for Marketers” Using Data Mining for Business Advantage Publisher / Amazon	2018
	“Predictive Analytics, Data Mining and Big Data” Myths, Misconceptions and Methods Publisher / Amazon	2014
	“Predictive Data Mining Models” Publisher / Amazon	2016
	“Predictive HR Analytics” Mastering the HR Metric Publisher / Amazon	2019
	“Predictive HR Analytics” Mastering the HR Metric Publisher / Amazon	2016
	“Predictive Maintenance in Dynamic Systems” Advanced Methods, Decision Support Tools and Real-World Applications Publisher / Amazon	2019
	“Principal Component Analysis Networks and Algorithms” Publisher / Amazon	2017
	“Principal Component and Correspondence Analyses Using R” Publisher / Amazon	2018
	“Principal Component Regression for Crop Yield Estimation” Publisher / Amazon	2016
	“Principles of Data Mining” Publisher / Amazon	2016
	“Pro Hadoop Data Analytics” Designing and Building Big Data Systems using the Hadoop Ecosystem Publisher / Amazon	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 Data Structures and Algorithms for Big Data Applications” Publisher / Amazon	2019
	“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
	“Programming PyTorch for Deep Learning” Creating and Deploying Deep Learning Applications Publisher / Amazon	2019
	“Projection-Based Clustering through Self-Organization and Swarm Intelligence” Combining Cluster Analysis with the Visualization of High-Dimensional Data Publisher / Amazon	2018
	“Proper Generalized Decompositions” An Introduction to Computer Implementation with Matlab Publisher / Amazon	2016
	“Python For ArcGIS” Publisher / Amazon	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 Publisher / Amazon	2017
	“Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse” Publisher / Amazon	2019
	“R Data Science Quick Reference” A Pocket Guide to APIs, Libraries, and Packages Publisher / Amazon	2019
	“R for Data Science” Publisher / Amazon	2017
	“R Packages” Publisher / Amazon	2015
	“R Primer” Publisher / Amazon	2017
	“Random Forests” Publisher / Amazon	2019
	“Rankings and Preferences” New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications Publisher / Amazon	2015
	“Real World Data Mining Applications” Publisher / Amazon	2015
	“Real-Time Analytics” Techniques to Analyze and Visualize Streaming Data Publisher / Amazon	2014
	“Real-Time and Stream Data Management” Push-Based Data in Research and Practice Publisher / Amazon	2019
	“Realtime Data Mining” Self-Learning Techniques for Recommendation Engines Publisher / Amazon	2014
	“Reasoning about Uncertainty” Publisher / Amazon	2017
	“Reasoning with Rough Sets” Logical Approaches to Granularity-Based Framework Publisher / Amazon	2019
	“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” State-of-the-Art (Adaptation, Learning, and Optimization) Publisher / Amazon	2012
	“Reinforcement Learning” An Introduction Publisher / Amazon	2018
	“Reinforcement Learning for Cyber-Physical Systems” with Cybersecurity Case Studies Publisher / Amazon	2019
	“Reinforcement Learning for Optimal Feedback Control” A Lyapunov-Based Approach Publisher / Amazon	2018
	“Reliability Modelling and Analysis in Discrete Time” Publisher / Amazon	2018
	“Reproducible Econometrics Using R” Publisher / Amazon	2019
	“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 Publisher / Amazon	2017
	“Robust Correlation” Theory and Applications Publisher / Amazon	2016
	“Robust Intelligence and Trust in Autonomous Systems” Publisher / Amazon	2016
	“Robust Multivariate Analysis” Publisher / Amazon	2017
	“Robust Nonlinear Regression” with Applications using R Publisher / Amazon	2018
	“Robust Quality” Powerful Integration of Data Science and Process Engineering Publisher / Amazon	2019
	“Robust Representation for Data Analytics” Models and Applications Publisher / Amazon	2017
	“Rule Based Systems for Big Data” Publisher / Amazon	2016
	“Scalable Algorithms for Data and Network Analysis” Publisher / Amazon	2016
	“Scheduling” Theory, Algorithms, and Systems Publisher / Amazon	2016
	“Search Techniques in Intelligent Classification Systems” Publisher / Amazon	2016
	“Searchable Storage in Cloud Computing” Publisher / Amazon	2019
	“Self-Learning Optimal Control of Nonlinear Systems” Adaptive Dynamic Programming Approach Publisher / Amazon	2017
	“Self-Organizing Migrating Algorithm” Methodology and Implementation Publisher / Amazon	2016
	“Sentiment Analysis in the Bio-Medical Domain” Techniques, Tools, and Applications Publisher / Amazon	2017
	“Separating Information Maximum Likelihood Method for High-Frequency Financial Data” Publisher / Amazon	2018
	“Sequential Analysis” Hypothesis Testing and Changepoint Detection Publisher / Amazon	2014
	“Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics” Publisher / Amazon	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 Forensics, Cyber Security, and Machine Learning” Publisher / Amazon	2019
	“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
	“Stabilizing and Optimizing Control for Time-Delay Systems” Including Model Predictive Controls Publisher / Amazon	2019
	“Statistical Analysis of Microbiome Data with R” Publisher / Amazon	2018
	“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 Learning of Complex Data” Publisher / Amazon	2019
	“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
	“Strengthening Deep Neural Networks” Making AI Less Susceptible to Adversarial Trickery Publisher / Amazon	2019
	“Strong Stable Markov Chains” Publisher / Amazon	2019
	“Structural Pattern Recognition with Graph Edit Distance” Approximation Algorithms and Applications Publisher / Amazon	2015
	“Supervised and Unsupervised Learning for Data Science” Publisher / Amazon	2020
	“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 2 Applications and Future Perspectives Publisher / Amazon	2017
	“Tensor Networks for Dimensionality Reduction and Large-scale Optimization” Part 1 Low-Rank Tensor Decompositions 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 Enterprise Big Data Lake” Delivering on the Promise of Hadoop and Data Science in the Enterprise Publisher / Amazon	2019
	“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 Application of Reuse, Integration, and Data Science” Publisher / Amazon	2019
	“Theory and Methods of Statistics” Publisher / Amazon	2016
	“Theory of Ridge Regression Estimation with Applications” Publisher / Amazon	2019
	“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 Knowledge Discovery and Machine Learning” Publisher / Amazon	2019
	“Visual Pattern Discovery and Recognition” Publisher / Amazon	2017
	“Visual Six Sigma” Making Data Analysis Lean Publisher / Amazon	2016
	“Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment” Publisher / Amazon	2018
	“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 Knowledge Representation Practionary” Guidelines Based on Charles Sanders Peirce Publisher / Amazon	2019
	“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
	“Argumentation Mining” Publisher / Amazon	2018
	“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
	“Developing Enterprise Chatbots” Learning Linguistic Structures Publisher / Amazon	2019
	“Domain-Specific Knowledge Graph Construction” Publisher / Amazon	2019
	“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
	“Handbook on Ontologies” Publisher / Amazon	2016
	“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” Storing, Querying, and Reasoning Publisher / Amazon	2018
	“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
	“Multimodal Sentiment Analysis” 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” Techniques, Tools, and Applications Publisher / Amazon	2012
	“Sentic Computing” A Common-Sense-Based Framework for Concept-Level Sentiment Analysis Publisher / Amazon	2015
	“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

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