| 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 | |||
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Book Series |
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“Data and Analytics Series” Addison-Wesley Publisher |
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“R – Programming” O’Reilly Media Publisher |
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“Statistics” Springer Publisher |
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“The R Series” Chapman & Hall/CRC Publisher |
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Collections |
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“Amazon Best Sellers in AI & Machine Learning” Publisher |
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“Amazon Best Sellers in Data Mining” Publisher |
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“Data Science Books (datascience@berkeley)” Publisher |
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“Dataviz Books” (Civil Statistician ) Publisher |
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“Library of Peter Norvig” Publisher |
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“Must Read Books in Analytics / Data Science” Infographic Publisher |
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“R-Project: Books related to R” Publisher |
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Analytics |
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“A / B Testing” The Most Powerful Way to Turn Clicks Into Customers Publisher / Amazon |
2013 | |
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“A Beginners Guide for Machine Learning” Publisher / Amazon |
2018 | |
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“A Computational Approach to Statistical Learning” Publisher / Amazon |
2019 | |
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“A Distributed Linear Programming Models in a Smart Grid” Publisher / Amazon |
2017 | |
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“A First Course in Machine Learning” Second Edition Publisher / Amazon |
2016 | |
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“A Machine Learning Model for Improving Healthcare on Cloud Computing” Publisher / Amazon |
2019 | |
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“A Practical Guide to Analytics for Governments” Using Big Data for Good Publisher / Amazon |
2017 | |
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“A Primer for Computational Biology” Publisher / Amazon |
2017 | |
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“A Primer on Process Mining” Practical Skills with Python and Graphviz Publisher / Amazon |
2017 | |
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“A User’s Guide to Business Analytics” Publisher / Amazon |
2016 | |
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“A User’s Guide to Network Analysis in R” Publisher / Amazon |
2015 | |
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“Adaptation and Hybridization in Computational Intelligence” (Adaptation, Learning, and Optimization) Publisher / Amazon |
2015 | |
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“Adaptive Regression for Modeling Nonlinear Relationships” Publisher / Amazon |
2016 | |
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“Adaptive Resonance Theory in Social Media Data Clustering” Roles, Methodologies, and Applications Publisher / Amazon |
2019 | |
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“Adaptive Stochastic Optimization Techniques with Applications” Publisher / Amazon |
2015 | |
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“Advanced Analysis of Variance” Publisher / Amazon |
2017 | |
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“Advanced Analytics with Spark” Publisher / Amazon |
2015 | |
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“Advanced Business Analytics” Essentials for Developing a Competitive Advantage Publisher / Amazon |
2016 | |
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“Advanced Customer Analytics” Targeting, Valuing, Segmenting and Loyalty Techniques Publisher / Amazon |
2016 | |
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“Advanced Data Analysis in Neuroscience” Integrating Statistical and Computational Models Publisher / Amazon |
2017 | |
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“Advanced Data Analytics in Health” Publisher / Amazon |
2018 | |
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“Advanced Data Analytics Using Python” With Machine Learning, Deep Learning and NLP Examples Publisher / Amazon |
2018 | |
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“Advanced Deep Learning with Keras” Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Publisher / Amazon |
2018 | |
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“Advanced Optimization by Nature-Inspired Algorithms” Publisher / Amazon |
2018 | |
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“Advanced Planning and Scheduling in Manufacturing and Supply Chains” Publisher / Amazon |
2016 | |
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“Advanced R” Data Programming and the Cloud Publisher / Amazon |
2016 | |
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“Advanced R Statistical Programming and Data Models” Analysis, Machine Learning, and Visualization Publisher / Amazon |
2019 | |
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“Advanced Statistical Methods in Data Science” Publisher / Amazon |
2016 | |
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“Advanced Statistics for the Behavioral Sciences” A Computational Approach with R Publisher / Amazon |
2018 | |
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“Advanced Time Series Data Analysis” Forecasting Using EViews Publisher / Amazon |
2019 | |
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“Advances in Chaos Theory and Intelligent Control” Publisher / Amazon |
2016 | |
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“Advances in DEA Theory and Applications” With Extensions to Forecasting Models Publisher / Amazon |
2017 | |
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“Advances in Financial Machine Learning” Publisher / Amazon |
2018 | |
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“Advances in Hybridization of Intelligent Methods” Models, Systems and Applications Publisher / Amazon |
2018 | |
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“Advances in Metaheuristics Algorithms” Methods and Applications Publisher / Amazon |
2018 | |
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“Advances in Neural Networks” Computational Intelligence for ICT Publisher / Amazon |
2016 | |
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“Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites” Publisher / Amazon |
2019 | |
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“Algorithm Engineering” Selected Results and Surveys Publisher / Amazon |
2016 | |
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“Algorithmische Graphentheorie” Publisher / Amazon |
2015 | |
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“Algorithms and Programs of Dynamic Mixture Estimation” Unified Approach to Different Types of Components Publisher / Amazon |
2017 | |
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“Algorithms for Data Science” Publisher / Amazon |
2016 | |
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“Algorithms for Next-Generation Sequencing Data” Techniques, Approaches, and Applications Publisher / Amazon |
2017 | |
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“Aligning Business Strategies and Analytics” Bridging Between Theory and Practice Publisher / Amazon |
2019 | |
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“All Data Are Local” Thinking Critically in a Data-Driven Society Publisher / Amazon |
2019 | |
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“An Economic Interpretation of Linear Programming” Publisher / Amazon |
2015 | |
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“An Introduction to Data” Everything You Need to Know About AI, Big Data and Data Science Publisher / Amazon |
2019 | |
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“An Introduction to Fuzzy Linear Programming Problems” Theory, Methods and Applications Publisher / Amazon |
2016 | |
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“An Introduction to Machine Learning” Publisher / Amazon |
2019 | |
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“An Introduction to Machine Learning” Publisher / Amazon |
2015 | |
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“An Introduction to Modeling Neuronal Dynamics” Publisher / Amazon |
2017 | |
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“An Introduction to Statistical Learning” with Applications in R Publisher / Amazon |
2013 | |
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“An Introduction to Statistics with Python” With Applications in the Life Sciences Publisher / Amazon |
2016 | |
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“Analyse des Anbieterwechsels mit Hidden-Markov-Modellen” Empirische Untersuchung im Retail Banking Publisher / Amazon |
2015 | |
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“Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms” Publisher / Amazon |
2018 | |
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“Analysis and Design of Markov Jump Systems with Complex Transition Probabilities” Publisher / Amazon |
2016 | |
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“Analysis and Presentation of Experimental Results” With Examples, Problems and Programs Publisher / Amazon |
2017 | |
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“Analysis of Large and Complex Data” Studies in Classification, Data Analysis, and Knowledge Organization Publisher / Amazon |
2016 | |
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“Analysis of Repeated Measures Data” Publisher / Amazon |
2017 | |
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“Analysis of Step-Stress Models” Existing Results and Some Recent Developments Publisher / Amazon |
2017 | |
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“Analysis of Survival Data with Dependent Censoring” Copula-Based Approaches Publisher / Amazon |
2018 | |
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“Analytical Methods for Dynamic Modelers” Publisher / Amazon |
2015 | |
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“Analytics for Insurance” The Real Business of Big Data Publisher / Amazon |
2016 | |
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“Analytics for Smart Energy Management” Tools and Applications for Sustainable Manufacturing Publisher / Amazon |
2016 | |
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“Analytics for the Internet of Things” Application of Analytics to IoT devices Publisher / Amazon |
2016 | |
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“Analytics in a Big Data World” Essential Guide to Data Science and its Applications Publisher / Amazon |
2014 | |
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“Analytics in Smart Tourism Design” Concepts and Methods Publisher / Amazon |
2016 | |
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“Analyzing Time Interval Data” Introducing an Information System for Time Interval Data Analysis Publisher / Amazon |
2016 | |
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“Angewandte Zeitreihenanalyse mit R” Publisher / Amazon |
2012 | |
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“Anomaly Detection Principles and Algorithms” Publisher / Amazon |
2017 | |
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“Application of Machine Learning- Classification of Students” Publisher / Amazon |
2018 | |
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“Applications of Artificial Intelligence Techniques in Industry 4.0” Publisher / Amazon |
2019 | |
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“Applications of Big Data Analytics” Trends, Issues, and Challenges Publisher / Amazon |
2018 | |
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“Applied Analytics through Case Studies Using SAS and R” Implementing Predictive Models and Machine Learning Techniques Publisher / Amazon |
2018 | |
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“Applied Compositional Data Analysis” With Worked Examples in R Publisher / Amazon |
2018 | |
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“Applied Data Science” Lessons Learned for the Data-Driven Business Publisher / Amazon |
2019 | |
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“Applied Fourier Analysis” From Signal Processing to Medical Imaging Publisher / Amazon |
2017 | |
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“Applied Machine Learning” Publisher / Amazon |
2019 | |
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“Applied Multivariate Statistical Analysis” Publisher / Amazon |
2015 | |
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“Applied Predictive Analytics” Principles and Techniques for the Professional Data Analyst Publisher / Amazon |
2014 | |
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“Applied Predictive Modeling” Fundamental Concepts and Algorithms Publisher / Amazon |
2013 | |
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“Applied Probabilistic Calculus for Financial Engineering” An Introduction Using R Publisher / Amazon |
2018 | |
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“Applied Probability” From Random Sequences to Stochastic Processes Publisher / Amazon |
2018 | |
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“Applied Regression Analysis for Business” Tools, Traps and Applications Publisher / Amazon |
2018 | |
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“Applied Surrogate Endpoint Evaluation Methods with SAS and R” Publisher / Amazon |
2016 | |
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“Applied Survival Analysis Using R” Publisher / Amazon |
2016 | |
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“Applied Time Series Analysis” A Practical Guide to Modeling and Forecasting Publisher / Amazon |
2019 | |
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“Applied Time Series Analysis with R” Publisher / Amazon |
2016 | |
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“Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings” Publisher / Amazon |
2019 | |
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“Applying Predictive Analytics” Finding Value in Data Publisher / Amazon |
2019 | |
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“Approximation and Optimization” Algorithms, Complexity and Applications Publisher / Amazon |
2019 | |
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“Artificial Adaptive Systems using Auto Contractive Maps” Theory, Applications and Extensions Publisher / Amazon |
2018 | |
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“Artificial Intelligence and Exponential Technologies” Business Models Evolution and New Investment Opportunities Publisher / Amazon |
2017 | |
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“Artificial Intelligence and Games” Publisher / Amazon |
2018 | |
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“Artificial Intelligence and Natural Language Processing” Publisher / Amazon |
2018 | |
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“Artificial Intelligence Brings Positive or Negative Impaction to” Influence Human Job Nature Amazon |
2019 | |
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“Artificial Intelligence Engines” A Tutorial Introduction to the Mathematics of Deep Learning Amazon |
2019 | |
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“Artificial Intelligence for .NET” Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs Publisher / Amazon |
2017 | |
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“Artificial Intelligence for Business” Publisher / Amazon |
2019 | |
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“Artificial Intelligence for Fashion Industry in the Big Data Era” Publisher / Amazon |
2018 | |
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“Artificial Intelligence for Marketing” Practical Applications Publisher / Amazon |
2017 | |
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“Artificial Intelligence in Financial Markets” Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics Publisher / Amazon |
2016 | |
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“Artificial Intelligence in IoT” Publisher / Amazon |
2019 | |
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“Artificial Intelligence Marketing and Predicting Consumer Choice” An Overview of Tools and Techniques Publisher / Amazon |
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“Artificial Intelligence Tools” Decision Support Systems in Condition Monitoring and Diagnosis Publisher / Amazon |
2015 | |
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“Artificial Intelligence with Python” A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers Publisher / Amazon |
2018 | |
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“Artificial Neural Network Applications for Software Reliability Prediction” Publisher / Amazon |
2017 | |
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“Artificial Neural Network Modelling” Publisher / Amazon |
2016 | |
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“Artificial Neural Networks” A Practical Course Publisher / Amazon |
2016 | |
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“Artificial Neural Networks with Java” Tools for Building Neural Network Applications Publisher / Amazon |
2019 | |
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“Asymmetric Kernel Smoothing” Theory and Applications in Economics and Finance Publisher / Amazon |
2018 | |
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“Asymptotic Change-Point Analysis of the Dependencies in Time Series” Publisher / Amazon |
2016 | |
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“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 | |
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“Automated Machine Learning” Publisher / Amazon |
2019 | |
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“Automated Trading with R” Quantitative Research and Platform Development Publisher / Amazon |
2016 | |
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“Automatic Design of Decision-Tree Induction Algorithms” Publisher / Amazon |
2015 | |
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“Automatic Tuning of Compilers Using Machine Learning” Publisher / Amazon |
2018 | |
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“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 | |
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“Bayesian Cost-Effectiveness Analysis with the R package BCEA” Publisher / Amazon |
2017 | |
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“Bayesian Data Analysis” Publisher / Amazon |
2013 | |
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“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 | |
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“Beginning Artificial Intelligence with the Raspberry Pi” Publisher / Amazon |
2017 | |
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“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 | |
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“Behavioural Models” From Modelling Finite Automata to Analysing Business Processes Publisher / Amazon |
2016 | |
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“BERRU Predictive Modeling” Best Estimate Results with Reduced Uncertainties Publisher / Amazon |
2019 | |
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“Beyond Basic Statistics” Tips, Tricks, and Techniques Every Data Analyst Should Know Publisher / Amazon |
2015 | |
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“Big and Complex Data Analysis” Methodologies and Applications Publisher / Amazon |
2016 | |
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“Big Data” A Business and Legal Guide Publisher / Amazon |
2014 | |
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“Big Data Analysis” New Algorithms for a New Society Publisher / Amazon |
2016 | |
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“Big Data Analytics” Methods and Applications Publisher / Amazon |
2016 | |
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“Big Data Analytics” A Management Perspective Publisher / Amazon |
2016 | |
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“Big Data Analytics” Handbook of Statistics Publisher / Amazon |
2015 | |
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“Big Data Analytics in Genomics” Publisher / Amazon |
2016 | |
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“Big Data Analytics with Spark” A Practitioner’s Guide to Using Spark for Large Scale Data Analysis Publisher / Amazon |
2015 | |
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“Big Data and Analytics” Strategic and Organizational Impacts Publisher / Amazon |
2015 | |
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“Big Data and Differential Privacy” Analysis Strategies for Railway Track Engineering Publisher / Amazon |
2017 | |
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“Big Data and Learning Analytics in Higher Education” Current Theory and Practice Publisher / Amazon |
2016 | |
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“Big Data and Social Science” A Practical Guide to Methods and Tools Publisher / Amazon |
2016 | |
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“Big Data Concepts, Theories, and Applications” Publisher / Amazon |
2016 | |
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“Big Data Factories” Collaborative Approaches Publisher / Amazon |
2017 | |
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“Big Data for Remote Sensing: Visualization, Analysis and Interpretation” Digital Earth and Smart Earth Publisher / Amazon |
2019 | |
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“Big Data in Healthcare” Extracting Knowledge from Point-of-Care Machines Publisher / Amazon |
2017 | |
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“Big Data Optimization” Recent Developments and Challenges Publisher / Amazon |
2016 | |
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“Big Data Science and Analytics for Smart Sustainable Urbanism” Unprecedented Paradigmatic Shifts and Practical Advancements Publisher / Amazon |
2019 | |
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“Big Data Technologies and Applications” Publisher / Amazon |
2016 | |
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“Big Data, Cloud Computing, and Data Science Engineering” Publisher / Amazon |
2020 | |
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“Big Data, Data Mining, and Machine Learning” Value Creation for Business Leaders and Practitioners Publisher / Amazon |
2014 | |
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“Big Visual Data Analysis” Scene Classification and Geometric Labeling Publisher / Amazon |
2016 | |
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“Big-Data Analytics and Cloud Computing” Theory, Algorithms and Applications Publisher / Amazon |
2016 | |
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“Bilinear Regression Analysis” An Introduction Publisher / Amazon |
2018 | |
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“Biostatistics and Computer-based Analysis of Health Data using R” Publisher / Amazon |
2016 | |
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“Boosted Statistical Relational Learners” From Benchmarks to Data-Driven Medicine Publisher / Amazon |
2015 | |
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“Bootstrapping Machine Learning” The first guide to Prediction APIs Publisher / Amazon |
2014 | |
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“Breakdown in Traffic Networks” Fundamentals of Transportation Science Publisher / Amazon |
2017 | |
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“Bridging the Semantic Gap in Image and Video Analysis” Publisher / Amazon |
2018 | |
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“Bringing Bayesian Models to Life” Publisher / Amazon |
2019 | |
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“Building a Recommendation System with R” Publisher / Amazon |
2015 | |
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“Building Bots with Microsoft Bot Framework” Creating intelligent conversational interfaces Publisher / Amazon |
2017 | |
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“Building Chatbots with Python” Using Natural Language Processing and Machine Learning Publisher / Amazon |
2019 | |
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“Building Intelligent Systems” A Guide to Machine Learning Engineering Publisher |
2018 | |
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“Building Machine Learning Powered Applications” Going from Idea to Product Publisher / Amazon |
2019 | |
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“Building Recommendation Engines” Understand your data and user preferences to make intelligent, accurate, and profitable decisions Publisher / Amazon |
2016 | |
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“Building Trading Bots Using Java” Publisher / Amazon |
2016 | |
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“Business Analytics Using R” A Practical Approach Publisher / Amazon |
2017 | |
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“Business Statistics Using R” Publisher / Amazon |
2019 | |
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“Case-based Evidence – Grundlagen und Anwendung” Prognose und Verbesserung der Akzeptanz von Produkten und Projekten Publisher / Amazon |
2016 | |
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“Case-Based Reasoning” A Textbook Publisher / Amazon |
2013 | |
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“Categorical Data Analysis by Example” Publisher / Amazon |
2016 | |
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“Centrality and Diversity in Search” Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition Publisher / Amazon |
2019 | |
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“Challenges in Computational Statistics and Data Mining” Publisher / Amazon |
2016 | |
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“Characterizing Interdependencies of Multiple Time Series” Theory and Applications Publisher / Amazon |
2017 | |
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“Classification from Antiquity to Modern Times” Sources, Methods, and Theories from an Interdisciplinary Perspective Publisher / Amazon |
2017 | |
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“Classification in BioApps” Automation of Decision Making Publisher / Amazon |
2018 | |
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“Classification, (Big) Data Analysis and Statistical Learning” Publisher / Amazon |
2018 | |
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“Clinical Data Analysis on a Pocket Calculator” Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing Publisher / Amazon |
2016 | |
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“Clinical Text Mining” Secondary Use of Electronic Patient Records Publisher / Amazon |
2018 | |
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“Clustering Methods for Big Data Analytics” Techniques, Toolboxes and Applications Publisher / Amazon |
2019 | |
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“Cognitive Computing” Theory and Applications Publisher / Amazon |
2016 | |
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“Cognitive Computing for Big Data Systems Over IoT” Frameworks, Tools and Applications Publisher / Amazon |
2018 | |
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“Cohort Intelligence” A Socio-inspired Optimization Method Publisher / Amazon |
2016 | |
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“Combinatorial Optimization and Graph Algorithms” Communications of NII Shonan Meetings Publisher / Amazon |
2017 | |
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“Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications” Publisher / Amazon |
2018 | |
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“Compact Extended Linear Programming Models” Publisher / Amazon |
2018 | |
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“Competition-Based Neural Networks with Robotic Applications” Publisher / Amazon |
2018 | |
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“Complex Event Processing” Verarbeitung von Ereignismustern in Datenströmen Publisher / Amazon |
2017 | |
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“Complex Network Analysis in Python” Recognize – Construct – Visualize – Analyze – Interpret Publisher / Amazon |
2017 | |
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“Complex Surveys” Analysis of Categorical Data Publisher / Amazon |
2018 | |
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“Complexity of Seismic Time Series” Measurement and Application Publisher / Amazon |
2018 | |
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“Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level” Publisher |
2018 | |
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“Compression-Based Methods of Statistical Analysis and Prediction of Time Series” Publisher / Amazon |
2016 | |
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“Computational Actuarial Science with R” A Hands-On Approach to Understanding and Using Actuarial Models Publisher / Amazon |
2014 | |
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“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 | |
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“Computational Intelligence” Probleme, Methoden Und Technische Anwendungen Amazon |
2016 | |
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“Computational Intelligence” A Methodological Introduction Publisher / Amazon |
2016 | |
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“Computational Intelligence for Network Structure Analytics” Publisher / Amazon |
2017 | |
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“Computational Intelligence for Pattern Recognition” Publisher / Amazon |
2018 | |
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“Computational Intelligence Techniques in Health Care” Publisher / Amazon |
2016 | |
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“Computational Intelligent Data Analysis for Sustainable Development” Publisher / Amazon |
2016 | |
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“Computational Methods for Data Analysis” Publisher / Amazon |
2019 | |
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“Computational Metrics for Soccer Analysis” Connecting the dots Publisher / Amazon |
2018 | |
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“Computational Personality Analysis” Introduction, Practical Applications and Novel Directions Publisher / Amazon |
2016 | |
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“Conceptual Exploration” Publisher / Amazon |
2016 | |
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“Context-Aware Computing” Publisher / Amazon |
2018 | |
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“Convolution Copula Econometrics” Publisher / Amazon |
2016 | |
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“Correspondence Analysis in Practice” Publisher / Amazon |
2016 | |
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“Covariance Modelling” Amazon |
2019 | |
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“Creativity in Intelligent Technologies and Data Science” Third Conference, CIT&DS 2019, Volgograd, Russia, September 16-19, 2019, Proceedings Publisher / Amazon |
2019 | |
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“Customer Churn Prediction Using Machine Learning Technique” Publisher |
2019 | |
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“Customer Relationship Analytics” Praktische Anwendung des Data Mining im CRM Publisher / Amazon |
2015 | |
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“Data Analysis in the Cloud” Models, Techniques and Applications Publisher / Amazon |
2015 | |
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“Data Analysis with R” Publisher / Amazon |
2018 | |
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“Data Analytics” Models and Algorithms for Intelligent Data Analysis Publisher / Amazon |
2016 | |
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“Data Analytics for Intelligent Transportation Systems” Publisher / Amazon |
2017 | |
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“Data Analytics for Internal Auditors” Publisher / Amazon |
2017 | |
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“Data Analytics im Mittelstand” Fundierter Einblick in das Modethema ‘Big Data’ Publisher / Amazon |
2016 | |
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“Data Analytics in Digital Humanities” Publisher / Amazon |
2017 | |
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“Data Analytics in Professional Soccer” Performance Analysis Based on Spatiotemporal Tracking Data Publisher / Amazon |
2018 | |
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“Data and Information Quality” Dimensions, Principles and Techniques Publisher / Amazon |
2016 | |
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“Data Assimilation” Mathematical Concepts and Instructive Examples Publisher / Amazon |
2015 | |
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“Data Assimilation” A Mathematical Introduction Publisher / Amazon |
2015 | |
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“Data Classification” Algorithms and Applications Publisher / Amazon |
2014 | |
|
“Data Classification using Neural Analytics” Publisher / Amazon |
2017 | |
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“Data Clustering” Algorithms and Applications Publisher / Amazon |
2013 | |
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“Data Clustering and Image Segmentation Through Genetic Algorithms” Emerging Research and Opportunities Publisher / Amazon |
2019 | |
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“Data Envelopment Analysis” From Normative to Descriptive Performance Evaluation Publisher / Amazon |
2017 | |
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“Data Envelopment Analysis” A Handbook of Empirical Studies and Applications Publisher / Amazon |
2016 | |
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“Data Fitting and Uncertainty” A practical introduction to weighted least squares and beyond Publisher / Amazon |
2016 | |
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“Data Mining” The Textbook Publisher / Amazon |
2015 | |
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“Data Mining” Amazon |
2016 | |
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“Data Mining” Practical Machine Learning Tools and Techniques Publisher / Amazon |
2016 | |
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“Data Mining” Practical Machine Learning Tools and Techniques Publisher / Amazon |
2011 | |
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“Data Mining Algorithms” Explained Using R Publisher / Amazon |
2015 | |
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“Data Mining and Analysis” Fundamental Concepts and Algorithms Publisher / Amazon |
2014 | |
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“Data Mining and Constraint Programming” Foundations of a Cross-Disciplinary Approach Publisher / Amazon |
2016 | |
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“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 | |
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“Data Mining for Systems Biology” Methods and Protocols Publisher / Amazon |
2018 | |
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“Data Mining Techniques for the Life Sciences” Publisher / Amazon |
2016 | |
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“Data Mining with Decision Trees” Theory and Applications Publisher / Amazon |
2007 | |
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“Data Mining with SPSS Modeler” Theory, Exercises and Solutions Publisher / Amazon |
2016 | |
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“Data Science” Innovative Developments in Data Analysis and Clustering Publisher / Amazon |
2017 | |
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“Data Science” Mindset, Methodologies, and Misconceptions Publisher / Amazon |
2017 | |
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“Data Science” Create Teams That Ask the Right Questions and Deliver Real Value Publisher / Amazon |
2016 | |
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“Data Science” Publisher / Amazon |
2018 | |
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“Data Science and Big Data” An Environment of Computational Intelligence Publisher / Amazon |
2017 | |
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“Data Science and Big Data Computing” Frameworks and Methodologies Publisher / Amazon |
2016 | |
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“Data Science and Complex Networks” Real Case Studies with Python Publisher / Amazon |
2016 | |
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“Data Science and Predictive Analytics” Biomedical and Health Applications using R Publisher / Amazon |
2018 | |
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“Data Science for Business” What you need to know about Data Mining and Data-Analytic Thinking Publisher / Amazon |
2013 | |
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“Data Science For Dummies” Publisher / Amazon |
2017 | |
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“Data Science for Healthcare” Methodologies and Applications Publisher / Amazon |
2019 | |
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“Data Science for Supply Chain Forecast” Amazon |
2018 | |
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“Data Science for Transport” A Self-Study Guide with Computer Exercises Publisher |
2018 | |
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“Data Science Foundations” Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics Publisher / Amazon |
2017 | |
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“Data Science From Scratch” First Principles with Python Publisher / Amazon |
2015 | |
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“Data Science Fundamentals for Python and MongoDB” Publisher / Amazon |
2018 | |
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“Data Science in Practice” Publisher / Amazon |
2019 | |
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“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 | |
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“Data Wrangling with R” Publisher / Amazon |
2016 | |
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“Data-Driven HR” How to Use Analytics and Metrics to Drive Performance Publisher / Amazon |
2018 | |
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“Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System” Publisher / Amazon |
2015 | |
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“Data-Driven Prediction for Industrial Processes and Their Applications” Publisher / Amazon |
2018 | |
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“Data-Intensive Science” Publisher / Amazon |
2016 | |
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“Data-Variant Kernel Analysis” Publisher / Amazon |
2015 | |
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“Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods” Publisher / Amazon |
2019 | |
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“Decision Tree and Ensemble Learning Based on Ant Colony Optimization” Publisher / Amazon |
2019 | |
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“Deep Learning” Fundamentals, Theory and Applications Publisher / Amazon |
2019 | |
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“Deep Learning” Convergence to Big Data Analytics Publisher / Amazon |
2019 | |
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“Deep Learning” Practical Neural Networks with Java Publisher / Amazon |
2017 | |
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“Deep Learning” A Practitioner’s Approach Publisher / Amazon |
2016 | |
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“Deep Learning and Convolutional Neural Networks for Medical Image Computing” Precision Medicine, High Performance and Large-Scale Datasets Publisher / Amazon |
2017 | |
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“Deep Learning for Biometrics” Publisher / Amazon |
2017 | |
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“Deep Learning for Medical Image Analysis” Publisher / Amazon |
2017 | |
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“Deep Learning for Natural Language Processing” Solve your natural language processing problems with smart deep neural networks Publisher / Amazon |
2019 | |
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“Deep Learning for Search” Publisher / Amazon |
2019 | |
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“Deep Learning for the Life Sciences” Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More Publisher / Amazon |
2019 | |
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“Deep Learning From First Principles” In vectorized Python, R and Octave Amazon |
2018 | |
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“Deep Learning through Sparse and Low-Rank Modeling” Publisher / Amazon |
2019 | |
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“Deep Learning with Python” A Hands-on Introduction Publisher / Amazon |
2017 | |
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“Deep Reinforcement Learning for Wireless Networks” Publisher / Amazon |
2019 | |
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“Demand Forecasting for Inventory Control” Publisher / Amazon |
2015 | |
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“Descriptive Data Mining” Publisher / Amazon |
2017 | |
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“Designing with Data” Improving the User Experience with A/B Testing Publisher / Amazon |
2017 | |
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“Deterministic Global Optimization” An Introduction to the Diagonal Approach Publisher / Amazon |
2017 | |
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“Developing Analytic Talent: Becoming a Data Scientist” The definitive job search and preparation guide for data scientists Publisher / Amazon |
2014 | |
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“Developing Bots with Microsoft Bots Framework” Create Intelligent Bots using MS Bot Framework and Azure Cognitive Servic Publisher / Amazon |
2018 | |
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“Developments and Advances in Intelligent Systems and Applications” Publisher / Amazon |
2017 | |
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“Dictionary Learning Algorithms and Applications” Publisher / Amazon |
2018 | |
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“Diffuse Algorithms for Neural and Neuro-Fuzzy Networks” With Applications in Control Engineering and Signal Processing Publisher / Amazon |
2017 | |
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“Diffusion in Social Networks” Publisher / Amazon |
2015 | |
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“Discrete Choice Analysis” Theory and Application to Travel Demand Publisher / Amazon |
2018 | |
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“Discrete Data Analysis with R” Visualization and Modeling Techniques for Categorical and Count Data Publisher / Amazon |
2015 | |
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“Discrete Optimization in Architecture” Extremely Modular Systems Publisher / Amazon |
2016 | |
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“Discriminative Learning in Biometrics” Publisher / Amazon |
2016 | |
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“Disk-Based Algorithms for Big Data” Publisher / Amazon |
2016 | |
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“Disruptive Analytics” Charting Your Strategy for Next-Generation Business Analytics Publisher / Amazon |
2016 | |
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“Docker for Data Science” Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server Publisher / Amazon |
2017 | |
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“Doing Data Science” Publisher / Amazon |
2013 | |
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“Dynamic Data Analysis” Modeling Data with Differential Equations Publisher / Amazon |
2017 | |
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“Effective CRM using Predictive Analytics” Publisher / Amazon |
2016 | |
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“Effizienzanalyse von Dienstleistungsproduktionen” Eine Data Envelopment Analysis unter Berücksichtigung stochastischer externer Faktoren Publisher / Amazon |
2016 | |
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“Elements of Nonlinear Time Series Analysis and Forecasting” Publisher / Amazon |
2016 | |
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“Embedded Deep Learning” Algorithms, Architectures and Circuits for Always-on Neural Network Processing Publisher / Amazon |
2019 | |
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“Empirical Approach to Machine Learning” Publisher / Amazon |
2019 | |
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“Encyclopedia of Algorithms” Publisher / Amazon |
2016 | |
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“Encyclopedia of Algorithms” Publisher / Amazon |
2016 | |
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“Encyclopedia of Distances” Publisher / Amazon |
2016 | |
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“Encyclopedia of Machine Learning” Publisher / Amazon |
2011 | |
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“Encyclopedia of Machine Learning and Data Mining” Publisher / Amazon |
2017 | |
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“Encyclopedia of Machine Learning and Data Mining” Publisher / Amazon |
2017 | |
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“Encyclopedia of Social Network Analysis and Mining” Publisher / Amazon |
2018 | |
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“Encyclopedia of Social Network Analysis and Mining” (ESNAM) Publisher / Amazon |
2014 | |
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“Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data” Publisher / Amazon |
2018 | |
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“Ensemble Methods in Data Mining” Improving Accuracy Through Combining Predictions Publisher / Amazon |
2010 | |
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“Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction” Publisher / Amazon |
2018 | |
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“Entertainment Science” Data Analytics and Practical Theory for Movies, Games, Books, and Music Publisher / Amazon |
2019 | |
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“Environmental Data Analysis” Methods and Applications Publisher / Amazon |
2016 | |
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“Environmental Data Analysis” Methods and Applications Publisher / Amazon |
2017 | |
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“Essentials of Time Series for Financial Applications” Publisher / Amazon |
2018 | |
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“Event Mining” Algorithms and Applications Publisher / Amazon |
2015 | |
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“Evolutionary Algorithms and Neural Networks” Theory and Applications Publisher / Amazon |
2019 | |
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“Evolutionary Algorithms for Food Science and Technology” Publisher / Amazon |
2017 | |
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“Evolutionary and Swarm Intelligence Algorithms” Publisher / Amazon |
2019 | |
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“Evolutionary Computation and Complex Networks” Publisher / Amazon |
2019 | |
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“Evolutionary Multi-Agent Systems” From Inspirations to Applications Publisher / Amazon |
2017 | |
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“Examples in Parametric Inference with R” Publisher / Amazon |
2016 | |
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“Experience Management” Foundations, Development Methodology and Internet-Based Applications Publisher / Amazon |
2002 | |
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“Explainable and Interpretable Models in Computer Vision and Machine Learning” Publisher / Amazon |
2018 | |
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“Exploratory Multivariate Analysis by Example Using R” Publisher / Amazon |
2017 | |
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“Exploring Neural Networks with C#” Publisher / Amazon |
2014 | |
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“Extending the Linear Model with R” Generalized Linear, Mixed Effects and Nonparametric Regression Models Publisher / Amazon |
2016 | |
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“Extracting Knowledge from Time Series” An Introduction to Nonlinear Empirical Modeling Publisher / Amazon |
2010 | |
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“Extremal Optimization” Fundamentals, Algorithms, and Applications Publisher / Amazon |
2016 | |
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“Extreme Value Distributions” Publisher / Amazon |
2016 | |
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“Fault-Tolerant Search Algorithms” Reliable Computation with Unreliable Information Publisher / Amazon |
2013 | |
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“Feature Engineering for Machine Learning” Principles and Techniques for Data Scientists Publisher / Amazon |
2018 | |
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“Feature Extraction, Construction and Selection” A Data Mining Perspective Publisher / Amazon |
1998 | |
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“Feature Extraction: Foundations and Applications” Publisher / Amazon |
2006 | |
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“Feature Selection for High-Dimensional Data” Publisher / Amazon |
2016 | |
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“Federal Data Science” Transforming Government and Agricultural Policy Using Artificial Intelligence Publisher / Amazon |
2017 | |
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“Finding out about” A cognitive perspective on Search Engine Technology and the WWW Amazon |
2001 | |
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“Finite Mathematics” Models and Applications Publisher / Amazon |
2015 | |
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“Flexible Imputation of Missing Data” Publisher / Amazon |
2018 | |
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“Flexible Regression and Smoothing” Using GAMLSS in R Publisher / Amazon |
2017 | |
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“Flood Forecasting Using Machine Learning Methods” Publisher / Amazon |
2019 | |
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“Forecast Error Correction using Dynamic Data Assimilation” Publisher / Amazon |
2016 | |
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“Forecasting” An Essential Introduction Publisher / Amazon |
2019 | |
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“Forecasting with the Theta Method” Theory and Applications Publisher / Amazon |
2019 | |
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“Formal Concept Analysis of Social Networks” Publisher / Amazon |
2017 | |
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“Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering” Publisher / Amazon |
2016 | |
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“Foundations of Data Science” A Practical Introduction to Data Science with Python Publisher / Amazon |
2020 | |
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“Foundations of Predictive Analytics” Publisher / Amazon |
2012 | |
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“Fourier Analysis of Economic Phenomena” Publisher / Amazon |
2018 | |
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“Frameworks for Distributed Big Data Processing” A Comparison in the Domain of Predictive Maintenance Publisher / Amazon |
2018 | |
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“Fraud Data Analytics Methodology” The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems Publisher / Amazon |
2017 | |
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“From Basic Survival Analytic Theory to a Non-Standard Application” Publisher / Amazon |
2017 | |
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“From Curve Fitting to Machine Learning” An Illustrative Guide to Scientific Data Analysis and Computational Intelligence Publisher / Amazon |
2016 | |
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“From Data to Decision” A Handbook for the Modern Business Analyst Publisher / Amazon |
2019 | |
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“From Human Attention to Computational Attention” A Multidisciplinary Approach Publisher / Amazon |
2018 | |
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“From Social Data Mining and Analysis to Prediction and Community Detection” Publisher / Amazon |
2017 | |
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“Functional and Shape Data Analysis” Publisher / Amazon |
2016 | |
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“Functional Data Analysis” Publisher / Amazon |
2005 | |
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“Fundamental Issues of Artificial Intelligence” Publisher / Amazon |
2016 | |
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“Fundamentals of Big Data Network Analysis for Research and Industry” Publisher / Amazon |
2016 | |
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“Fundamentals of Clinical Data Science” Publisher |
2019 | |
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“Fundamentals of Database Indexing and Searching” Publisher |
2016 | |
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“Fundamentals of Deep Learning” Designing Next-Generation Machine Intelligence Algorithms Publisher / Amazon |
2017 | |
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“Fundamentals of Machine Learning for Predictive Data Analytics” Algorithms, Worked Examples, and Case Studies Publisher / Amazon |
2015 | |
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“Fundamentals of Optimization” Methods, Minimum Principles, and Applications for Making Things Better Publisher / Amazon |
2018 | |
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“Fundamentals of Predictive Text Mining” Publisher / Amazon |
2015 | |
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“Fuzziness in Information Systems” How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization Publisher / Amazon |
2016 | |
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“Fuzzy Logic Augmentation of Neural and Optimization Algorithms” Theoretical Aspects and Real Applications Publisher / Amazon |
2018 | |
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“Fuzzy Machine Learning” Advanced Approaches to Solve Optimization Problems Publisher |
2019 | |
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“Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration” Publisher / Amazon |
2005 | |
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“Fuzzy Sets, Rough Sets, Multisets and Clustering” Publisher / Amazon |
2017 | |
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“Fuzzy Technology” Present Applications and Future Challenges Publisher / Amazon |
2016 | |
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“Gems of Combinatorial Optimization and Graph Algorithms” Amazon |
2015 | |
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“Generalizations of Fuzzy Information Measures” Publisher / Amazon |
2016 | |
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“Generalized Additive Models” An Introduction with R Publisher / Amazon |
2017 | |
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“Generalized Connectivity of Graphs” Publisher / Amazon |
2016 | |
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“Generalized Low Rank Models” Publisher / Amazon |
2016 | |
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“Generalized Principal Component Analysis” Publisher / Amazon |
2016 | |
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“Generative Adversarial Networks Projects” Build next-generation generative models using TensorFlow and Keras Publisher / Amazon |
2018 | |
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“Generative Deep Learning” Teaching Machines to Paint, Write, Compose, and Play Publisher / Amazon |
2019 | |
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“Genetic Algorithm Essentials” Publisher / Amazon |
2017 | |
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“Genetic Algorithms in Java Basics” Publisher / Amazon |
2015 | |
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“Genetic Programming Theory and Practice XIII” Publisher / Amazon |
2017 | |
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“Genetic Programming Theory and Practice XVI” Publisher / Amazon |
2019 | |
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“Genome Data Analysis” Publisher / Amazon |
2018 | |
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“Granular Computing Based Machine Learning” A Big Data Processing Approach Publisher / Amazon |
2018 | |
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“Granular-Relational Data Mining” How to Mine Relational Data in the Paradigm of Granular Computing? Publisher / Amazon |
2017 | |
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“Graph Algorithms” Practical Examples in Apache Spark and Neo4j Publisher / Amazon |
2019 | |
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“Graph Analysis and Visualization” Discovering Business Opportunity in Linked Data Publisher / Amazon |
2015 | |
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“Graph-Based Social Media Analysis” Publisher / Amazon |
2015 | |
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2019 | |
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“Grey Data Analysis” Methods, Models and Applications Publisher / Amazon |
2017 | |
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“Grokking Deep Learning” Publisher / Amazon |
2019 | |
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“Grouping Genetic Algorithms” Advances and Applications Publisher / Amazon |
2016 | |
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“Guide to Competitive Programming” Learning and Improving Algorithms Through Contests Publisher / Amazon |
2017 | |
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“Guide to Convolutional Neural Networks” A Practical Application to Traffic-Sign Detection and Classification Publisher / Amazon |
2017 | |
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“Guide to Data Analytics” Publisher / Amazon |
2018 | |
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“Guide to Intelligent Data Analysis” How to Intelligently Make Sense of Real Data Publisher / Amazon |
2010 | |
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“Hadoop” The Definitive Guide Publisher / Amazon |
2012 | |
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“Handbook of Approximate Bayesian Computation” Publisher / Amazon |
2018 | |
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“Handbook of Big Data” Publisher / Amazon |
2016 | |
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“Handbook of Big Data Analytics” Publisher / Amazon |
2018 | |
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“Handbook of Convex Optimization Methods in Imaging Science” Publisher / Amazon |
2017 | |
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“Handbook of Deep Learning Applications” Publisher / Amazon |
2019 | |
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“Handbook of Discrete-Valued Time Series” Publisher / Amazon |
2015 | |
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“Handbook of Graphical Models” Publisher / Amazon |
2018 | |
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“Handbook of Heuristics” Publisher / Amazon |
2018 | |
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“Handbook of Item Response Theory” Volume One: Models Publisher / Amazon |
2016 | |
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“Handbook of Metaheuristics” Publisher / Amazon |
2019 | |
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“Handbook of Metaheuristics” Publisher / Amazon |
2010 | |
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“Handbook of Missing Data Methodology” Publisher / Amazon |
2014 | |
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“Handbook of Mixed Membership Models and Their Applications” Publisher / Amazon |
2014 | |
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“Handbook of Model Checking” Publisher / Amazon |
2018 | |
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“Handbook of Model Predictive Control” Publisher / Amazon |
2019 | |
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“Handbook of Neural Computation” Publisher / Amazon |
2017 | |
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“Handbook of Operations Analytics Using Data Envelopment Analysis” Publisher / Amazon |
2016 | |
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“Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering” Publisher / Amazon |
2018 | |
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“Handbook of Robust Low-Rank and Sparse Matrix Decomposition” Applications in Image and Video Processing Publisher / Amazon |
2016 | |
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“Handbook of Signal Processing Systems” Publisher / Amazon |
2018 | |
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“Handbook of Statistical Analysis and Data Mining Applications” 2nd Edition Publisher / Amazon |
2017 | |
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“Handbook of Statistical Analysis and Data Mining Applications” Publisher / Amazon |
2009 | |
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“Handbook of Statistical Methods and Analyses in Sports” Publisher / Amazon |
2016 | |
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“Handbook of Survival Analysis” Publisher / Amazon |
2013 | |
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“Handbook of Uncertainty Quantification” Publisher / Amazon |
2017 | |
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“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Concepts, Tools, and Techniques for Building Intelligent Systems Publisher / Amazon |
2017 | |
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“Hands-On Unsupervised Learning Using Python” How to Build Applied Machine Learning Solutions from Unlabeled Data Publisher / Amazon |
2019 | |
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“Health Informatics Data Analysis” Methods and Examples Publisher / Amazon |
2017 | |
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“Healthcare Analytics” From Data to Knowledge to Healthcare Improvement Publisher / Amazon |
2016 | |
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“Healthcare Data Analytics” Publisher / Amazon |
2015 | |
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“Heuristic Search” The Emerging Science of Problem Solving Publisher / Amazon |
2017 | |
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“Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling” Publisher / Amazon |
2016 | |
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“Hidden Markov Models for Time Series” An Introduction Using R Publisher / Amazon |
2016 | |
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“Hidden Semi-Markov Models” Theory, Algorithms and Applications Publisher / Amazon |
2015 | |
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“High Performance Data Mining and Big Data Analytics” The Story of Insight from Big Data Publisher / Amazon |
2014 | |
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“High-Utility Pattern Mining” Theory, Algorithms and Applications Publisher / Amazon |
2019 | |
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“Human Activity Recognition and Prediction” Publisher / Amazon |
2016 | |
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“Human Re-Identification” Publisher / Amazon |
2016 | |
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“Hybrid Intelligence for Social Networks” Publisher / Amazon |
2018 | |
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“Hybrid Metaheuristics for Image Analysis” Publisher / Amazon |
2018 | |
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“Hyper-lattice Algebraic Model for Data Warehousing” Publisher / Amazon |
2016 | |
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“Independent Random Sampling Methods” Publisher / Amazon |
2018 | |
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“Inference for Heavy-Tailed Data” Applications in Insurance and Finance Publisher / Amazon |
2017 | |
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“Information Fusion for Cyber-Security Analytics” Publisher / Amazon |
2016 | |
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“Infrastruktur für ein Data Mining Design Framework” Eine Untersuchung mit Fallbeispielen Publisher / Amazon |
2018 | |
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“Insight into Fuzzy Modeling” Publisher / Amazon |
2016 | |
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“Intelligent City Evaluation System” Publisher / Amazon |
2018 | |
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“Intelligent Computing Systems” Emerging Application Areas Publisher / Amazon |
2016 | |
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“Intelligent Data Analysis” An Introduction Publisher / Amazon |
2006 | |
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“Intelligent Natural Language Processing” Trends and Applications Publisher / Amazon |
2018 | |
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“Intelligent Techniques for Data Science” Publisher / Amazon |
2016 | |
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“Intelligent Transportation Systems” Dependable Vehicular Communications for Improved Road Safety Publisher / Amazon |
2016 | |
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“Interpretability of Computational Intelligence-Based Regression Models” Publisher / Amazon |
2015 | |
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“Interval-valued Methods in Classifications and Decisions” Publisher / Amazon |
2019 | |
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“Introduction to Artificial Intelligence” Publisher / Amazon |
2017 | |
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“Introduction to Artificial Intelligence” Publisher / Amazon |
2016 | |
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“Introduction to Bayesian Statistics” Publisher / Amazon |
2016 | |
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“Introduction to Data Science” A Python Approach to Concepts, Techniques and Applications Publisher / Amazon |
2017 | |
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“Introduction to Deep Learning” From Logical Calculus to Artificial Intelligence Publisher / Amazon |
2018 | |
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“Introduction to Deep Learning Using R” A Step-by-Step Guide to Learning and Implementing Deep Learning Models using R Publisher / Amazon |
2017 | |
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“Introduction to Learning Classifier Systems” Publisher / Amazon |
2017 | |
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“Introduction to modern Time Series Analysis” Publisher / Amazon |
2008 | |
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“Introduction to Nature-Inspired Optimization” Publisher / Amazon |
2017 | |
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“Introduction to Nonparametric Statistics for the Biological Sciences Using R” Publisher / Amazon |
2016 | |
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“Introduction to Probability with Statistical Applications” Publisher / Amazon |
2016 | |
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“Introduction to Scientific Computing and Data Analysis” Publisher / Amazon |
2016 | |
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“Introduction to Statistical Analysis of Laboratory Data” Publisher / Amazon |
2016 | |
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“Introduction to Statistical Machine Learning” Publisher / Amazon |
2015 | |
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“Introduction to the Modeling and Analysis of Complex Systems” Publisher / Amazon |
2015 | |
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“Introduction to Time Series and Forecasting” Publisher / Amazon |
2016 | |
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“Introduction to Time Series Forecasting With Python” Publisher |
2017 | |
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“Issues in the Use of Neural Networks in Information Retrieval” Publisher / Amazon |
2017 | |
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“Iterative Learning Control for Multi-agent Systems Coordination” Publisher / Amazon |
2017 | |
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“Java Data Mining” Strategy, Standard, and Practice. A Practical Guide for Architecture, Design, and Implementation Publisher / Amazon |
2006 | |
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“Jaya” An Advanced Optimization Algorithm and its Engineering Applications Publisher / Amazon |
2019 | |
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“Joint Modeling of Longitudinal and Time-to-Event Data” Publisher / Amazon |
2016 | |
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“Künstliche Intelligenz” Publisher / Amazon |
2004 | |
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“Kalman Filtering” with Real-Time Applications Publisher / Amazon |
2017 | |
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“Keras to Kubernetes” The Journey of a Machine Learning Model to Production Publisher / Amazon |
2019 | |
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“Kernel Mean Embedding of Distributions” A Review and Beyond Publisher / Amazon |
2017 | |
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“Knowledge Transfer between Computer Vision and Text Mining” Similarity-based Learning Approaches Publisher / Amazon |
2016 | |
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“Large-Scale and Distributed Optimization” Publisher / Amazon |
2018 | |
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“Large-Scale Graph Processing Using Apache Giraph” Publisher / Amazon |
2017 | |
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“Lasso-MPC – Predictive Control with 1-Regularised Least Squares” Publisher / Amazon |
2016 | |
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“Learning Analytics” Measurement Innovations to Support Employee Development Publisher / Amazon |
2016 | |
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“Learning Analytics in R with SNA, LSA, and MPIA” Publisher / Amazon |
2016 | |
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“Learning Systems” From Theory to Practice Publisher / Amazon |
2018 | |
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“Learning TensorFlow” A Guide to Building Deep Learning Systems Publisher / Amazon |
2017 | |
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“Lecture Notes in Real-Time Intelligent Systems” Publisher / Amazon |
2018 | |
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“Lifelong Machine Learning” Publisher / Amazon |
2018 | |
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“Likelihood-Free Methods for Cognitive Science” Publisher / Amazon |
2018 | |
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“Linear Algebra and Learning from Data” Publisher / Amazon |
2019 | |
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“Linear and Nonlinear Optimization” Publisher / Amazon |
2017 | |
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“Linear and Nonlinear Programming” Publisher / Amazon |
2016 | |
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“Linear Programming” Foundations and Extensions Publisher / Amazon |
2014 | |
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“Linear Regression” Publisher / Amazon |
2017 | |
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“Link Prediction in Social Networks” Role of Power Law Distribution Publisher / Amazon |
2016 | |
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“Logistics, Supply Chain and Financial Predictive Analytics” Theory and Practices Publisher / Amazon |
2019 | |
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“Longitudinal Data Analysis” Autoregressive Linear Mixed Effects Models Publisher / Amazon |
2019 | |
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“Loss Data Analysis” Publisher / Amazon |
2018 | |
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“Low-Rank Models in Visual Analysis” Theories, Algorithms, and Applications Publisher / Amazon |
2017 | |
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“Machine Intelligence” Demystifying Machine Learning, Neural Networks and Deep Learning Publisher / Amazon |
2019 | |
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“Machine Intelligence and Big Data in Industry” Publisher / Amazon |
2016 | |
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“Machine Learners” Archaeology of a Data Practice Publisher / Amazon |
2017 | |
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“Machine Learning” A Practical Approach on the Statistical Learning Theory Publisher / Amazon |
2018 | |
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“Machine Learning” An overview with the help of R software Publisher / Amazon |
2018 | |
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“Machine Learning” Algorithms and Applications Publisher / Amazon |
2016 | |
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“Machine Learning” A Concise Introduction Publisher / Amazon |
2018 | |
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“Machine Learning” A Concise Introduction Publisher / Amazon |
2018 | |
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“Machine Learning” The Art and Science of Algorithms that Make Sense of Data Publisher / Amazon |
2012 | |
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“Machine Learning” A Probabilistic Perspective Publisher / Amazon |
2012 | |
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“Machine Learning and AI for Healthcare” Big Data for Improved Health Outcomes Publisher / Amazon |
2019 | |
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“Machine Learning and Artificial Intelligence” Publisher / Amazon |
2020 | |
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“Machine Learning and Security” Protecting Systems with Data and Algorithms Publisher / Amazon |
2018 | |
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“Machine Learning for Audio, Image and Video Analysis” Theory and Applications Publisher / Amazon |
2015 | |
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“Machine Learning for Big Data Analyis” Publisher / Amazon |
2018 | |
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“Machine Learning for Evolution Strategies” Publisher / Amazon |
2016 | |
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“Machine Learning For Hackers” Publisher / Amazon |
2012 | |
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“Machine Learning for Mobile” Practical guide to building intelligent mobile applications powered by machine learning Publisher / Amazon |
2019 | |
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“Machine Learning for Model Order Reduction” Publisher / Amazon |
2018 | |
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“Machine Learning for the Quantified Self” On the Art of Learning from Sensory Data Publisher / Amazon |
2018 | |
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“Machine Learning in Complex Networks” Publisher / Amazon |
2016 | |
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“Machine Learning in Python” Essential Techniques for Predictive Analysis Publisher / Amazon |
2019 | |
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“Machine Learning in Python” Essential Techniques for Predictive Analysis Publisher / Amazon |
2015 | |
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“Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video” Publisher |
2018 | |
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“Machine Learning Models and Algorithms for Big Data Classification” Thinking with Examples for Effective Learning Publisher / Amazon |
2016 | |
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“Machine Learning Paradigms” Advances in Data Analytics Publisher / Amazon |
2019 | |
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“Machine Learning Paradigms” Artificial Immune Systems and their Applications in Software Personalization Publisher / Amazon |
2016 | |
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“Machine Learning Paradigms” Applications in Recommender Systems Publisher / Amazon |
2015 | |
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“Machine Learning Paradigms” Theory and Application Publisher / Amazon |
2019 | |
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“Machine Learning Pocket Reference” Working with Structured Data in Python Publisher / Amazon |
2019 | |
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“Machine Learning Risk Assessments in Criminal Justice Settings” Publisher / Amazon |
2019 | |
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“Machine Learning Techniques for Online Social Networks” Publisher |
2019 | |
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“Machine Learning Using R” With Time Series and Industry-Based Use Cases in R Publisher / Amazon |
2019 | |
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“Machine Learning Using R” Publisher / Amazon |
2017 | |
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“Machine Learning with PySpark” With Natural Language Processing and Recommender Systems Publisher |
2019 | |
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“Machine Learning with the Elastic Stack” Expert techniques to integrate machine learning with distributed search and analytics. Publisher / Amazon |
2019 | |
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“Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment” Publisher / Amazon |
2020 | |
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“Machine Scheduling to Minimize Weighted Completion Times” The Use of the a-point Publisher / Amazon |
2018 | |
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“Machine-learning Techniques in Economics” New Tools for Predicting Economic Growth Publisher / Amazon |
2017 | |
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“Managing and Mining Graph Data” Advances in Database Systems Publisher / Amazon |
2012 | |
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“Market Segmentation Analysis” Understanding It, Doing It, and Making It Useful Publisher / Amazon |
2018 | |
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“Marketing Analytics” Data-Driven Techniques with Microsoft Excel Publisher / Amazon |
2014 | |
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“Marketing Analytics” A Practical Guide to Improving Consumer Insights Using Data Techniques Publisher / Amazon |
2017 | |
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“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 | |
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“Mastering Machine Learning Algorithms” Publisher / Amazon |
2018 | |
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“Mastering Machine Learning with R” Publisher / Amazon |
2015 | |
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“Mastering Text Mining with R” Master text-taming techniques and build effective text-processing applications with R Publisher / Amazon |
2016 | |
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“Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases” Publisher / Amazon |
2018 | |
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“Mathematical Problems in Data Science” Theoretical and Practical Methods Publisher / Amazon |
2015 | |
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“MATLAB Deep Learning” With Machine Learning, Neural Networks and Artificial Intelligence Publisher / Amazon |
2017 | |
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“MATLAB Machine Learning Recipes” A Problem-Solution Approach Publisher / Amazon |
2018 | |
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“Matrix and Tensor Factorization Techniques for Recommender Systems” Publisher / Amazon |
2017 | |
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“Matrix-Based Introduction to Multivariate Data Analysis” Publisher / Amazon |
2016 | |
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“Maximum-Entropy Networks” Pattern Detection, Network Reconstruction and Graph Combinatorics Publisher / Amazon |
2017 | |
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“Means in Mathematical Analysis” Bivariate Means Publisher / Amazon |
2017 | |
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“Measures of Complexity” Festschrift for Alexey Chervonenkis Publisher / Amazon |
2015 | |
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“Measuring and Analysing the Use of Ontologies” A Semantic Framework for Measuring Ontology Usage Publisher / Amazon |
2018 | |
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“Medical Decision Making” A Health Economic Primer Publisher / Amazon |
2017 | |
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“Meta-Analysis” A Structural Equation Modeling Approach Publisher / Amazon |
2015 | |
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“Meta-Analytic Structural Equation Modelling” Publisher / Amazon |
2015 | |
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“Meta-heuristic and Evolutionary Algorithms for Engineering Optimization” Publisher / Amazon |
2018 | |
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“Metaheuristics” Publisher / Amazon |
2016 | |
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“Mining Latent Entity Structures” Publisher / Amazon |
2015 | |
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“Mining Multimedia Documents” Publisher / Amazon |
2017 | |
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“Mining the Social Web” Publisher / Amazon |
2018 | |
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“Missing Data Analysis in Practice” Publisher / Amazon |
2015 | |
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“Mixed Effects Models for the Population Approach” Models, Tasks, Methods and Tools Publisher / Amazon |
2014 | |
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“Mixed Intelligent Systems” Developing Models for Project Management and Evaluation Publisher / Amazon |
2018 | |
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“Mixture Model-Based Classification” Publisher / Amazon |
2016 | |
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“Mobile Data Mining and Applications” Publisher / Amazon |
2019 | |
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“Model Averaging” Publisher / Amazon |
2019 | |
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“Model Predictive Control” Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model Publisher / Amazon |
2019 | |
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“Model-Free Prediction and Regression” A Transformation-Based Approach to Inference Publisher / Amazon |
2015 | |
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“Modeling Discrete Time-to-Event Data” Publisher / Amazon |
2016 | |
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“Modeling Discrete-Event Systems with GPenSIM” An Introduction Publisher / Amazon |
2018 | |
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“Modeling Techniques in Predictive Analytics” Business Problems and Solutions with R Publisher / Amazon |
2013 | |
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“Modeling with Rules Using Semantic Knowledge Engineering” Publisher / Amazon |
2018 | |
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“Modern Algorithms of Cluster Analysis” Publisher / Amazon |
2019 | |
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“Modern Analysis of Customer Surveys” with Applications using R Publisher / Amazon |
2012 | |
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“Modern Bayesian Statistics in Clinical Research” Publisher / Amazon |
2018 | |
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“Monte-Carlo Simulation-Based Statistical Modeling” Publisher / Amazon |
2017 | |
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“Movie Analytics” A Hollywood Introduction to Big Data Publisher / Amazon |
2015 | |
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“Multicriteria Analysis in Agriculture” Current Trends and Recent Applications Publisher / Amazon |
2018 | |
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“Multicriteria and Clustering” Classification Techniques in Agrifood and Environment Publisher / Amazon |
2017 | |
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“Multimedia Content Analysis” Publisher / Amazon |
2016 | |
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“Multimodal Analysis of User-Generated Multimedia Content” Publisher / Amazon |
2017 | |
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“Multimodal Optimization by Means of Evolutionary Algorithms” Publisher / Amazon |
2015 | |
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“Multiobjective Linear and Integer Programming” Publisher / Amazon |
2016 | |
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“Multiobjective Linear Programming” An Introduction Publisher / Amazon |
2016 | |
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“Multi-Objective Optimization Problems” Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications Publisher / Amazon |
2017 | |
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“Multi-Period Trading via Convex Optimization” Publisher / Amazon |
2017 | |
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“Multiple Criteria Decision Analysis” State of the Art Surveys Publisher / Amazon |
2016 | |
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“Multiple Criteria Decision Making by Multiobjective Optimization” Publisher / Amazon |
2016 | |
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“Multiple Instance Learning” Foundations and Algorithms Publisher / Amazon |
2016 | |
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“Multivariable Dynamic Calculus on Time Scales” Publisher / Amazon |
2016 | |
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“Multivariate Modelling of Non-Stationary Economic Time Series” Publisher / Amazon |
2017 | |
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“Multivariate Survival Analysis and Competing Risks” Publisher / Amazon |
2016 | |
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“Multivariate Time Series With Linear State Space Structure” Publisher / Amazon |
2016 | |
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“Multiview Machine Learning” Publisher / Amazon |
2019 | |
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“Multiview Machine Learning for Data Analysis” Publisher / Amazon |
2019 | |
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“Nature Inspired Optimization Techniques for Image Processing Applications” Publisher / Amazon |
2019 | |
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“Nature-Inspired Algorithms and Applied Optimization” Publisher / Amazon |
2018 | |
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“Nature-Inspired Computation in Data Mining and Machine Learning” Publisher / Amazon |
2020 | |
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“Nature-Inspired Optimization Algorithms” Publisher / Amazon |
2016 | |
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“Nature-Inspired Optimizers” Theories, Literature Reviews and Applications Publisher / Amazon |
2019 | |
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“Network Analysis Literacy” A Practical Approach to the Analysis of Networks Publisher / Amazon |
2016 | |
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“Network Data Envelopment Analysis” Foundations and Extensions Publisher / Amazon |
2016 | |
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“Network Role Mining and Analysis” Publisher / Amazon |
2017 | |
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“Network Traffic Anomaly Detection and Prevention” Concepts, Techniques, and Tools Publisher / Amazon |
2017 | |
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“Neural Network Driven Artificial Intelligence” Decision Making Based on Fuzzy Logic Publisher / Amazon |
2017 | |
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“Neural Networks and Deep Learning” A Textbook Publisher / Amazon |
2018 | |
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“Neural Networks and Statistical Learning” 2nd edition Publisher / Amazon |
2019 | |
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“Neural Networks and Statistical Learning” Publisher / Amazon |
2014 | |
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“New Approaches in Intelligent Image Analysis” Techniques, Methodologies and Applications Publisher / Amazon |
2016 | |
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“New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks” Publisher / Amazon |
2016 | |
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“New Directions on Model Predictive Control” Publisher / Amazon |
2019 | |
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“New Introduction to Multiple Time Series Analysis” Publisher |
2005 | |
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“Non-Convex Multi-Objective Optimization” Publisher / Amazon |
2017 | |
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“Nonlinear Principal Component Analysis and Its Applications” Publisher / Amazon |
2016 | |
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“Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments” Publisher / Amazon |
2016 | |
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“Non-negative Matrix Factorization Techniques” Advances in Theory and Applications Publisher / Amazon |
2016 | |
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“Nonsmooth Optimization and Its Applications” Publisher / Amazon |
2019 | |
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“Novel Applications of Intelligent Systems” Publisher / Amazon |
2016 | |
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“Numerical Methods” Using MATLAB Publisher / Amazon |
2018 | |
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“Numerical Optimization” Publisher / Amazon |
2006 | |
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“Numerical Probability” An Introduction with Applications to Finance Publisher / Amazon |
2018 | |
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“Online Algorithms for the Portfolio Selection Problem” Publisher / Amazon |
2016 | |
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“Online Portfolio Selection” Principles and Algorithms Publisher / Amazon |
2015 | |
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“Open Problems in Optimization and Data Analysis” Publisher / Amazon |
2018 | |
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“Operational Modal Analysis” Modeling, Bayesian Inference, Uncertainty Laws Publisher / Amazon |
2017 | |
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“Operators for Similarity Search” Semantics, Techniques and Usage Scenarios Publisher / Amazon |
2015 | |
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“Optimization and Approximation” Publisher / Amazon |
2017 | |
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“Optimization and Decision Support Systems for Supply Chains” Publisher / Amazon |
2017 | |
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“Optimization by GRASP” Greedy Randomized Adaptive Search Procedures Publisher / Amazon |
2016 | |
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“Optimization in Engineering: Models and Algorithms” Models and Algorithms Publisher / Amazon |
2017 | |
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“Optimization of Energy Supply Systems” Modelling, Programming and Analysis Publisher / Amazon |
2019 | |
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“Outlier Analysis” Publisher / Amazon |
2017 | |
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“Outlier Analysis” Publisher / Amazon |
2017 | |
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“Outlier Detection: Techniques and Applications” A Data Mining Perspective Publisher / Amazon |
2019 | |
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“Outlier Ensembles” An Introduction Publisher / Amazon |
2017 | |
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“Parallel Computing for Data Science” With Examples in R, C++ and CUDA Publisher / Amazon |
2015 | |
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“Parallelism in Matrix Computations” Publisher / Amazon |
2015 | |
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“Partial Least Squares Structural Equation Modeling” Recent Advances in Banking and Finance Publisher / Amazon |
2018 | |
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“Partitional Clustering Algorithms” Publisher / Amazon |
2014 | |
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“Pattern Classification of Biomedical Image Time-Series” Computer Aided Diagnosis Publisher / Amazon |
2017 | |
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“Pattern Mining with Evolutionary Algorithms” Publisher / Amazon |
2016 | |
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“Patterns of Scalable Bayesian Inference” Foundations and Trends in Machine Learning Publisher / Amazon |
2016 | |
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“Pedometrics” Publisher / Amazon |
2018 | |
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“People Analytics in the Era of Big Data” Changing the Way You Attract, Acquire, Develop, and Retain Talent Publisher / Amazon |
2016 | |
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