eBooks

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | Z
|eBooks| = 490
Please check licensing before downloading documents using the below listed links and note, that the validity of links might change quickly.

A
A Beginner’s Guide to R 228 Pages 2009
A Brief Introduction to Neural Networks 286 Pages 2005
A Computational Approach to Statistics 492 Pages 2006
A Course in Machine Learning 189 Pages 2013
A Course in Machine Learning 229 Pages 2012
A Course in Machine Learning 191 Pages 2014
A Course in Time Series Analysis 325 Pages 2014
A Field Guide to Genetic Programming 250 Pages 2008
A First Course in Design and Analysis of Experiments 679 Pages 2010
A First Course on Time Series Analysis 364 Pages 2012
A First Encounter With Machine Learning 2010 93 Pages 2010
A First Encounter With Machine Learning 93 Pages 2011
A Gentle Introduction to Apache Spark 50 Pages 2017
A Handbook of Statistical Analyses Using R 207 Pages 2005
A History of Mathematical Notations 870 Pages 1993
A Little Book of R For Bayesian Statistics 27 Pages 2015
A Little Book of R For Bioinformatics 77 Pages 2011
A Little Book of R For Multivariate Analysis 51 Pages 2013
A Little Book of R For Time Series 75 Pages 2014
A Modern Introduction to Probability and Statistics 483 Pages 2005
A Nonparametric Statistical Approach to Clustering via Mode Identification 37 Pages 2007
A Probabilistic Theory of Pattern Recognition 661 Pages 1995
A Probability Course for the Actuaries 599 Pages 2014
A Programmer’s Guide to Data Mining 305 Pages 2013
A Tiny Handbook of R 94 Pages 2011
A Trio of Texts
Advanced Data Analysis from an Elementary Point of View 697 Pages 2014
Advanced Linear Models for Data Science 70 Pages 2015
Advanced Machine Learning With Python 278 Pages 2018
Advanced R 2014
Agile Data Science 177 Pages 2014
AI Algorithms Data Structures and Idioms 463 Pages 2009
Air University Sampling and Surveying Handbook 102 Pages 2002
Algorithm Design 432 Pages 2005
Algorithms and Data Structures 295 Pages 2007
Algorithms for Clustering Data 334 Pages 1988
Algorithms for Reinforcement Learning 2013 98 Pages 2013
Algorithms for Reinforcement Learning 98 Pages 2010
Algorithms 318 Pages 2006
All of Nonparametric Statistics 271 Pages 2006
An Example of Statistical Data Analysis 147 Pages 2014
An Introduction to Copulas 276 Pages 2006
An Introduction to Genetic Algorithms 162 Pages 1999
An Introduction to Graphical Models 102 Pages 1997
An Introduction to Information Retrieval 569 Pages 2009
An Introduction to Mathematical Optimal Control Theory 126 Pages 2014
An Introduction to Probability Theory and ist Applications 525 Pages 1968
An Introduction to R 106 Pages 2013
An Introduction to Sparse Stochastic Processes 379 Pages 2014
An Introduction to Statistical Inference and Its Applications with R 459 Pages 2008
An Introduction to Statistical Learning 4th 440 Pages 2014
An Introduction to Statistical Learning 441 Pages 2013
An Introduction to Statistics 192 Pages 2015
An Introduction to Stochastic Modeling 646 Pages 1998
An Introduction to Stochastic Processes in Continuous Time 143 Pages 2014
Analysing spatial point patterns in R 232 Pages 2010
AnalyticBridge Data Science eBook 123 Pages 2013
Apache Hadoop YARN 337 Pages 2014
Applied Bayesian Econometrics for Central Bankers 145 Pages 2012
Applied Data Science 141 Pages 2014
Applied Functional Data Analysis – Methods and Case Studies 201 Pages 2002
Applied Multivariate Statistical Analysis 393 Pages 2007
Applied Numerical Computing 274 Pages 2011
Applied Numerical Linear Algebra 421 Pages 1996
Art and Visual Perception 263 Pages 1974
Artificial Intelligence – A Modern Approach – 2 1112 Pages 2003
Artificial Intelligence – A Modern Approach 946 Pages 1995
Artificial Intelligence A Guide to Intelligent Systems 435 Pages 2005
Artificial Intelligence A Modern Approach – 1995 946 Pages 1995
Artificial Intelligence A Modern Approach 1152 Pages 2010
Artificial Intelligence: A Modern Approach 1995
Artificial Intelligence: Foundations of Computational Agents 2010
Automate the Boring Stuff with Python 2015

B
Basic Econometrics 1003 Pages 2004
Basic Probability Theory 350 Pages 2008
Basics of Statistics 83 Pages 2002
Bayesian Computation with R 304 Pages 2009
Bayesian Programming 208 Pages 2003
Bayesian Reasoning and Machine Learning 2014 672 Pages 2014
Bayesian Reasoning and Machine Learning 2015 680 Pages 2014
Bayesian Reasoning and Machine Learning 672 Pages 2013
Bayesian Statistical Modelling 598 Pages 2006
Beautiful Data – The Stories Behind Elegant Data Solutions 384 Pages 2009
Big Data Now 131 Pages 2012
Big Data, Data Mining, and Machine Learning – Dean 289 Pages 2014
Big Data, Data Mining, and Machine Learning 289 Pages 2014
Biplots in Practice 2010
BitBootcamp – Mathematics & Statistics
Building Machine Learning Systems with Python 290 Pages 2018
Business Cases mit SAP HANA 595 Pages 2013

C
Categorical Data Analysis 721 Pages 2002
Causality – Models, Reasoning and Inference 386 Pages 2000
Causality – Objectives and Assessment 393 Pages 2011
Causality in Time Series 152 Pages 2013
Causation and Prediction Challenge 292 Pages 2010
Causation Prediction and Search 546 Pages 1993
Clever Algorithms – Nature-Inspired Programming Recipes 454 Pages 2012
Clever Algorithms – Statistical Machine Learning Recipes 2013
Collaborative Statistics 728 Pages 2013
Combinatorial Stochastic Processes 251 Pages 2006
Combining Classification Algorithms 195 Pages 1999
Community Detection in Graphs 103 Pages 2010
Computational Complexity – A Modern Approach 489 Pages 2007
Computational Methods in Statistics and Economics 512 Pages 2004
Computational statistics – an introduction to R 232 Pages 2008
Computer Age Statistical Inference – Algorithms Evidence and Data Science 493 Pages 2017
Computer Vision – Algorithms and Applications 979 Pages 2010
Concise Computer Vision 441 Pages 2010
Constraint-Based Scheduling – Modeling and Filtering 163 Pages 2014
Convergence of Stochastic Processes 223 Pages 1984
Convex Optimization 730 Pages 2009
Counterexamples in Analysis 220 Pages 1965
Customer Analytics for Dummies 2013

D
D3 Tips and Tricks 598 Pages 2015
Data Analysis for the Life Sciences 466 Pages 2015
Data Analysis Using Regression and Multilevel Hierarchical Models 651 Pages 2007
Data Classification 64 Pages 2015
Data Driven 28 Pages 2015
Data Journalism Handbook 2012
Data Jujitsu – The Art of Turning Data into Product 2012
Data Mining – Concepts and Techniques 772 Pages 2006
Data Mining – Practical Machine Learning Tools and Techniques – 2 558 Pages 2005
Data Mining – Practical Machine Learning Tools and Techniques 665 Pages 2011
Data Mining Algorithms In R 2015
Data Mining and Analysis – Fundamental Concepts and Algorithms 607 Pages 2014
Data Mining and Analysis in Internet Advertising 44 Pages 2012
Data Mining and Analysis 659 Pages 2013
Data Mining and Business Analytics with R 361 Pages 2013
Data Mining and Knowledge Discovery Handbook 1306 Pages 2010
Data Mining Concepts and Techniques 772 Pages 2006
Data Mining For The Masses 264 Pages 2012
Data Mining Multimedia Soft Computing and Bioinformatics 420 Pages 2003
Data mining techniques – for marketing, sales, and customer 672 Pages 2004
Data Mining Techniques 672 Pages 2004
Data Mining with Decision Trees 263 Pages 2008
Data Mining with R 289 Pages 2011
Data Mining With Rattle and R 395 Pages 2011
Data Mining with Rattle 161 Pages 2007
Data Mining 2005
Data Science Book V2 183 Pages 2013
Data Science Book V3 196 Pages 2013
Data Science Central – Comprehensive List of Data Science Resources
Data Science for Business 409 Pages 2013
Data Science Live Book 2016
Data Science: An Introduction 2015
Data Structures and Algorithms 112 Pages 2008
Data Visualization for Social Science 2017
Data Visualization with JavaScript – jsDataV.is 2014
Datablending for Dummies 2015
Data-Intensive Text Processing with MapReduce 175 Pages 2010
Deep Learning 2015
Deep Learning 2014
Deep Learning – Methods and Applications 134 Pages 2014
Deep Learning Tutorial 153 Pages 2014
Deep Learning 134 Pages 2014
Design and Analysis of Algorithms 95 Pages 2008
Die Sprache R 40 Pages 2010
Digital History Methods in R 2014
Discrete Stochastic Processes 333 Pages 2009
Disruptive Possibilities – How Big Data Changes Everything 77 Pages 2013
Dive Into Python 3 495 Pages 2009
Dynamic Linear Models with R 186 Pages 2007

E
Econometric Analysis 827 Pages 2002
Econometrics – Hansen 387 Pages 2015
Econometrics In R 50 Pages 2008
Econometrics 379 Pages 2014
Einfuehrung in die Statistik mit R 558 Pages 2006
Elementary Statistics with R 2014
Elements of Forecasting 748 Pages 2006
Empirical Software Engineering using R 265 Pages 2016
Encyclopedia of Machine Learning 1059 Pages 2011
Ensemble Methods in Data Mining 126 Pages 2010
Essentials of Metaheuristics 253 Pages 2013
Essentials of Stochastic Processes 226 Pages 2011
Evolved to Win 193 Pages 2011
Exploratory Data Analysis – Past Present and Future 102 Pages 1993
Exploratory Factor Analysis 459 Pages 1997

F
Forecasting in Economics, Business, Finance and Beyond 607 Pages 2015
Forecasting: Principles and Practice 2012
Foundations of Data Science 2016 439 Pages 2016
Foundations of Data Science 419 Pages 2014
Foundations of Neural Networks Fuzzy Systems and Knowledge Engineering 581 Pages 1998
Foundations of Soft Case-Based Reasoning 299 Pages 2004
Foundations of Statistical Natural Language Processing 704 Pages 1999
Foundations of the Theory of Probability 47 Pages 1956
Free Books for Learning Data Mining & Data Analysis
Free Data Mining Books
Frequent Pattern Mining 85 Pages 2014
From Linear Models to Machine Learning 247 Pages 2016
From Natural Language to Soft Computing 226 Pages 2008
Frontiers in Massive Data Analysis 190 Pages 2013
Functional programming and unit testing for data munging with R 63 Pages 2016
Fundamental Methods of Mathematical Economics 679 Pages 1984
Fundamental Numerical Methods and Data Analysis 2003
Fundamentals of Predictive Text Mining 232 Pages 2010

G
Gaussian Process Models 205 Pages 2006
Gaussian Processes for Machine Learning 266 Pages 2006
Generalised Interaction Mining 349 Pages 2010
Generalized Additive Models – an introduction with R 397 Pages 2006
Generative Algorithms Using Grasshopper 179 Pages 2010
Grafiken und Statistik in R 240 Pages 2010
Graph Algorithms 453 Pages 2014
Graph Databases 2E 238 Pages 2015
Graph Databases 223 Pages 2013
Graph Theory – Diestel 322 Pages 2000
Graph Theory – Harary 281 Pages 1969
Graph Theory with Applications 270 Pages 1082
Graph Theory 114 Pages 2013
Graphical Models Exponential Families and Variational Inference 305 Pages 2008
Graphs and Matrices 175 Pages 2010
Grinstead and Snell’s Introduction to Probability 518 Pages 2006
Grundlagen der Datenanalyse mit R – 2011 325 Pages 2011

H
Hadoop – The Definitive Guide 526 Pages 2ßß9
Hadoop for Dummies 67 Pages 2012
Hadoop Illuminated 70 Pages 2013
Hadoop V3 643 Pages 2012
Handbook of Biological Statistics 291 Pages 2008
Handbook of Computational Econometrics 516 Pages 2009
Handbook of Graph Drawing and Visualization 2013
Handbook of Survival Analysis 635 Pages 2013
Handbook on Statistical Disclosure Control 216 Pages 2010
Handbook Statistical Foundations of Machine Learning 267 Pages
Handling and Processing Strings in R 112 Pages 2013
Handling Strings with R 2018

I
Inductive Logic Programming 311 Pages 1994
Information Theory, Inference, and Learning Algorithms 640 Pages 2005
Information Visualization – Perception for Design – 2 513 Pages 2004
Interactive Data Visualization for the Web 268 Pages 2013
International Handbook of Survey Methodology 558 Pages 2008
Interpretable Machine Learning 2018
Introduction to Algorithms 3rd 1313 Pages 2009
Introduction to Algorithms 984 Pages 2001
Introduction to Data Mining 792 Pages 2006
Introduction to Empirical Bayes 142 Pages 2017
Introduction to GPUs for Data Analytics 39 Pages 2017
Introduction to Information Retrieval 569 Pages 2009
Introduction to Linear Algebra 586 Pages 2009
Introduction to Machine Learning – Cambridge 234 Pages 2008
Introduction to Machine Learning – Shashua 109 Pages 2008
Introduction to Machine Learning – Smola 234 Pages 2008
Introduction to Machine Learning – Standford 188 Pages 2005
Introduction to Machine Learning for Fraud Prevention 17 Pages 2018
Introduction to Machine Learning 579 Pages 2010
Introduction to Modern Time Series Analysis 276 Pages 2007
Introduction to Online Convex Optimization 178 Pages 2015
Introduction to Probability and Statistics Using R 412 Pages 2011
Introduction to Probability Models – Students Manual 59 Pages 2010
Introduction to Probability Models 801 Pages 2010
Introduction to Programming Econometrics with R 50 Pages 2014
Introduction to Python for Econometrics Statistics and Data Analysis 405 Pages 2014
Introduction to State Space Time Series Analysis 189 Pages 2007
Introduction to Statistical Learning Theory 39 Pages 2004
Introduction to Statistical Modelling in R 115 Pages 2012
Introduction to Statistical Thinking 324 Pages 2011
Introduction to Statistical Thought 475 Pages 2013
Introduction to Statistics and Data Analysis for Physicists 412 Pages 2010
Introduction to Statistics 695 Pages 2014
Introduction to Stochastic Processes – Lecture Notes 107 Pages 2010
Introduction to Stochastic Processes 252 Pages 2006
Introduction to Time Series and Forecasting 449 Pages 2002
Introductory Econometrics 910 Pages 2012
Introductory R Presentation 41 Pages 2014
Introductory Statistics with R 370 Pages 2008
Introductory Statistics 641 Pages 2015
Introductory Time Series with R 87 Pages 2006

J
Java Data Mining 545 Pages 2007

K
Kalman and Bayesian Filters in Python 215
Kalman and Bayesian Filters in Python 2015
Kalman and Bayesian Filters in Python 456 Pages 2015
Kernel Based Algorithms for Mining Huge Data Sets 267 Pages 2006

L
Latent Dirichlet Allocation in R 146 Pages 2012
Learn Python the Hard Way 2015
Learn SQL The Hard Way 2010
Learning Bayesian Networks 59 Pages 2011
Learning Deep Architectures for AI 130 Pages 2009
Learning Python 443 Pages 2018
Learning with Big Data – The Future of Education 63 Pages 2014
Lecture Notes on Graph Theory 100 Pages 2011
Linear Algebra – CDW 430 Pages 2013
Linear Algebra – Theory And Applications 504 Pages 2015
Linear Algebra and its Applications – Lay 576 Pages 2012
Linear Algebra and its Applications 508 Pages 2006
Linear Algebra Done Wrong 276 Pages 2009
Linear Algebra 497 Pages 2014
Linear Models with R 255 Pages 2005
LIONBook 325 Pages 2014
List of 35 Free Online Books on Machine Learning
listudy – Free Online Books for Data Science

M
Machine Learning 450 Pages 2009
Machine Learning – A Probabilistic Perspective 1098 Pages 2012
Machine Learning – The Complete Guide 2018
Machine Learning – The Complete Guide 2015
Machine Learning Cheat Sheet 133 Pages 2014
Machine Learning with R 396 Pages 2018
Machine Learning Yearning 2018
Machine Learning, Neural and Statistical Classification 298 Pages 1994
Machine Learning 421 Pages 1997
Markov Chains and Mixing Times Oregon 387 Pages 2008
Markov Chains and Mixing Times 269 Pages 2007
Mathematical Tools for Data Mining 610 Pages 2008
Mathematics for Computer Science 848 Pages 2013
MATLAB – Econometrics Toolbox Users Guide 2012 Pages 2015
Matrix Differential Calculus With Applications in Statistics and Econometrics 468 Pages 2007
Matrix Methods and Applications 123 Pages 2014
Matters Computational 978 Pages 2010
Measuring Inequality 255 Pages 2009
Methods of Multivariate Analysis 727 Pages 2002
Mining of Massive Datasets 513 Pages 2014
Model-Based Machine Learning 2017
Model-based Machine Learning 2015
Modeling Agents with Probabilistic Programs 2017
Modeling and Solving Linear Programming with R 108 Pages 2015
Modeling DataWith Functional Programming In R 195 Pages 2015
Modeling with Data 470 Pages 2009
Modern Multivariate Statistical Techniques 757 Pages 2008
ModernDive 2017
Multi Sensor Data Fusion 154 Pages 2001
Multiagent Systems 532 Pages 2009
Multivariate Density Estimation 381 Pages 2015
Multivariate Nonparametric Methods with R 247 Pages 2010
Multivariate Statistics Old School 342 Pages 2013
Multivariate Statistics with R 189 Pages 2009

N
Natural Language Processing 2008
Natural Language Processing and Text Mining 272 Pages 2006
Natural Language Processing for the Working Programmer 2011
Natural Language Processing for the Working Programmer 78 Pages 2011
Natural Language Processing with Python 2016
Natural Language Processing with Python 2009
Natural Language Processing with Python 504 Pages 2009
Network Science Book 2012
Networks Crowds and Markets 833 Pages 2010
Neural Data Mining with Python Sources 112 Pages 2013
Neural Networks – A Systematic Introduction 509 Pages 1996
Neural Networks and Deep Learning 2014
Neural Networks for Pattern Recognition 498 Pages 1995
Niching Methods for Genetic Algorithms 264 Pages 1995
Nonparametric Econometrics – A Primer 88 Pages 2008
Numerical Algorithms and Digital Representation 463 Pages 2013

O
On Intelligence 174 Pages 2005
OpenIntro Advanced High School Statistics 402 Pages 2014
OpenIntro Introductory Statistics with Randomization and Simulation 354 Pages 2014
OpenIntro Statistics V1 380 Pages 2011
OpenIntro Statistics V2 426 Pages 2014
open-Source Media Interpretation by Large feature-space Extraction 173 Pages 2014
Optimize Your Operations With Predictive Maintenance 13 Pages 2017

P
Palgrave Handbook of Econometrics 1377 Pages 2009
Partial Least Squares Path Modeling with R 235 Pages 2013
Past Present Future of Statistical Science 643 Pages 2014
Pattern Classification 738 Pages 2000
Pattern Recognition and Machine Learning – Chapter 8 – Graphical Models 82 Pages 2006
Pattern Recognition and Machine Learning 703 Pages 2006
Practical Artificial Intelligence in the Cloud 21 Pages 2017
Practical Artificial Intelligence Programming With Java 222 Pages 2008
Practical Data Analysis with Python 2015
Practical Data Analysis 360 Pages 2018
Practical Machine Learning 56 Pages 2014
Predictive Analytics and Data Mining 164 Pages 2013
Predictive Analytics for Dummies 50 Pages 2014
Predictive Modeling and Analytics 488 Pages 2014
Predictive Policing: Taking a Chance for a Safer Future 162 Pages 2015
Principles of Data Mining – Bramer 342 Pages 2007
Principles of Data Mining 322 Pages 2001
Principles of Survival Analysis 128 Pages 2012
Principles of Uncertainty 499 Pages 2011
Pro Data Visualization using R and JavaScript 207 Pages 2007
Probabilistic Graphical Models Principles and Techniques 1268 Pages 2009
Probabilistic Graphical Models 1265 Pages 2009
Probabilistic Programming & Bayesian Methods for Hackers 2015
Probabilistic Programming & Bayesian Methods for Hackers 2014
Probability – Theory and Examples 386 Pages 2013
Probability and Random Processes 529 Pages 2012
Probability and Statistics Cookbook 28 Pages 2014
Probability and Stochastic Processes with Applications – Teaching 382 Pages 2013
Probability and Stochastic Processes with Applications 382 Pages 2009
Probability 575 Pages 1992
Process Improvement Using Data 378 Pages 2015
Processing and Analyzing Financial Data with R 398 Pages 2017
Process-Oriented Analysis and Validation of Multi-Agent-Based Simulations 445 Pages 2013
Programmieren mit R 31 Pages 2012
Programming Collective Intelligence 360 Pages 2007
p-value.info – Free Datascience Books
Python Algorithms 337 Pages 2010
Python for Computational Science and Engineering 170 Pages 2016
Python Programming 2015

R
R and Data Mining Examples and Case Studies 160 Pages 2013
R for beginners 76 Pages 2005
R for Data Science 2016
R for Programmers 104 Pages 2008
R Graph Cookbook 272 Pages 2011
R Graphics Cookbook 413 Pages 2012
R in a Nutshell 636 Pages 2009
R Packages 2015
R Programming 2015
R Programming for Data Science 132 Pages 2015
R Reader 69 Pages 2009
Rabbit – Introduction to R 2015
Ramarro – R for Developers 2014
Random Forests for Beginners 71 Pages 2014
Real-Time Big Data Analytics – Emerging Architecture 32 Pages 2013
Real-World Hadoop 103 Pages 2015
Recommender Systems Handbook 845 Pages 2011
Reinforcement Learning 434 Pages 2008
Reinforcement Learning – An Introduction 2012 334 Pages 2006
Reinforcement Learning – An Introduction 398 Pages 2005

S
Sampling – Design and Analysis 609 Pages 2010
School of Data Handbook 2013
Sentic Computing 177 Pages 2012
Similarity and Dissimilarity Measures 61 Pages 2012
simpleR – Using R for Introductory Statistics 114 Pages 2002
Social Media Mining 382 Pages 2014
Soft Computing – Overview and Recent Developments in Fuzzy Optimization 198 Pages 2001
Software for Data Analysis 514 Pages 2008
Speech and Language Processing 975 Pages 2000
SQL Tutorial 200 Pages
Statistical Analysis with R 47 Pages 2004
Statistical Analysis with The General Linear Model 274 Pages 2013
Statistical Foundations of Machine Learning * Pages 2013
Statistical Inference – Solutions Manual 195 Pages 2002
Statistical Inference for Everyone 200 Pages 2014
Statistical Inference 686 Pages 2002
Statistical Learning Theory – Models Concepts Results 40 Pages 2008
Statistical Learning Theory and Sequential Prediction 178 Pages 2013
Statistical Learning Theory 740 Pages 1998
Statistical Learning with Similarity and Dissimilarity Functions 166 Pages 2004
Statistical Learning with Sparsity 362 Pages 2015
Statistics Done Wrong 2017
Statistics FlexBook 308 Pages 2013
Statistics With R 121 Pages 2015
Statistics 236 Pages 2012
Statlect: Digital Textbook on Probability and Statistics 2015
Stochastic Processes – Theory for Applications 85 Pages 2013
Street-Fighting Mathematics 153 Pages 2010
Structural Econometric Modeling 139 Pages 2007
Summated Rating Scale Construction 84 Pages 1992
Survival Analysis – Introduction 491 Pages 2005
Survival Analysis – Techniques for Censored and Truncated Data 542 Pages 2003

T
Table of Integrals Series and Products 1221 Pages 2007
Terms of Service 48 Pages 2014
The Algorithm Design Manual 739 Pages 2008
The Art and Science of Data Driven Journalism 145 Pages 2014
The Art of Data Science 159 Pages 2015
The Art of R Programming 404 Pages 2011
The Art of Turning Data into Product 29 Pages 2014
The Atlas of Economic Complexity 362 Pages 2007
The Behavioral Economics Guide 2014 131 Pages 2014
The C++ Programming Language 1361 Pages 2013
The Data Analytics Handbook 2015
The Data Science Handbook
The Data Scientists Guide to Apache Spark 103 Pages 2017
The Design of Approximation Algorithms 500 Pages 2010
The Elements of Data Analytic Style 98 Pages 2015
The Elements of Statistical Learning 764 Pages 2013
The Field Guide to Data Science 110 Pages 2013
The Handbook of Computational Linguistics and Natural Language Processing 801 Pages 2010
The Hitchhikers Guide to GGPlot2 in R 218 Pages 2016
The Matrix Cookbook 72 Pages 2012
The Media Lab 329 Pages 1987
The Nature of Statistical Learning Theory 314 Pages 2000
The R Guide 61 Pages 2010
The R Inferno 126 Pages 2011
The Text Mining Handbook 423 Pages 2007
The Top Ten Algorithms in Data Mining 214 Pages 2009
The Visual Display Of Quantitative Information 191 Pages 2007
Theory and Applications for Advanced Text Mining 2012
Theory of Convex Optimization for Machine Learning 110 Pages 2014
Theory of Decision under Uncertainty 279 Pages 2008
Think Bayes 213 Pages 2012
Think Python 240 Pages 2012
Think Stats 2 242 Pages 2014
Think Stats 140 Pages 2011
Thinking With Data 220 Pages 2013
Time Series Analysis and its Applications 609 Pages 2011
Time Series Analysis in R 138 Pages 2012
Time Series Analysis with R 75 Pages 2011
Time Series Modelling of Water Resources and Environmental Systems 1994
Time-Critical Decision Making for Business Administration 2015
Twitter Data Analytics 89 Pages 2013

U
Understanding Big Data 166 Pages 2012
Understanding Machine Learning – From Theory to Algorithms 449 Pages 2014
Understanding the Chief Data Officer 26 Pages 2015
Using Google Analytics with R 82 Pages 2016
Using R for Data Analysis and Graphics 96 Pages 2008
Using R for Introductory Statistics 413 Pages 2005
Using R for Linear Regression 9 Pages 2007

V
Visualizing Data 384 Pages 2008

W
Wikibook: Data Mining Algorithms In R
Wikibook: Data Science – An Introduction
Wikibook: R Programming
Wikipedia – Machine Learning – The Complete Guide 1990 Pages 2014

Z
Zeitreihenanalyse mit R 51 Pages 2010

8 thoughts on “eBooks”

  1. Pingback: Data Science Big Data Machine Learning Artificial Intelligence | Data Science London

  2. KELVIN TAN said:

    Good library resources, thanks.

    Reply

  3. hatemgkotb said:

    Wow, great resource!
    Thank you.

    Reply

  4. taani said:

    awesome collection . Thank you!

    Reply

  5. Durdu Ozkarci (@durduozkarci) said:

    Thank you!

    Reply

  6. Vivek said:

    Thanks for wonderful collection of knowledge database

    Reply

  7. rancychepchirchircom said:

    Thanks for the collection. Great help

    Reply

  8. Tirualem M. said:

    Most Reliable Knowledge database

    Reply

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