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Data Analytics & R ~ Broaden your Horizon 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| = 475 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
Advanced Data Analysis from an Elementary Point of View
697 Pages
2014
Advanced Linear Models for Data Science
70 Pages
2015
A Trio of Texts
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 Business Cases mit SAP HANA
Practical Artificial Intelligence Programming With Java
222 Pages
2008
O
P
Practical Data Analysis with Python
2015
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
Python Algorithms
337 Pages
2010
Python for Computational Science and Engineering
170 Pages
2016
p-value.info – Free Datascience Books
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
Sampling – Design and Analysis
609 Pages
2010
S
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
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
T
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
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
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
Visualizing Data
384 Pages
2008
Wikipedia – Machine Learning – The Complete Guide
1990 Pages
2014
Zeitreihenanalyse mit R
51 Pages
2010
U
V
W Wikibook: Data Mining Algorithms In R Wikibook: Data Science – An Introduction Wikibook: R Programming
Z
thoughts on “eBooks” 1. Pingback: Data Science Big Data Machine Learning Artificial Intelligence | Data Science London 2. said:KELVIN TAN October 13, 2015 at 3:53 am Good library resources, thanks. REPLY 3. said:hatemgkotb May 31, 2016 at 10:55 am Wow, great resource! Thank you. REPLY 4. said:taani June 25, 2016 at 1:38 pm awesome collection . Thank you! REPLY 5. said:Durdu Ozkarci (@durduozkarci) October 2, 2016 at 12:05 pm Thank you! REPLY