eBooks | Data Analytics & R [PDF]

A Programmer's Guide to Data Mining, 305 Pages, 2013. A Tiny Handbook of R, 94 Pages, 2011. A Trio of Texts. Advanced Da

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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

595 Pages

2013

Categorical Data Analysis

721 Pages

2002

Causality – Models, Reasoning and Inference

386 Pages

2000

Causation Prediction and Search

546 Pages

1993

Clever Algorithms – Nature-Inspired Programming Recipes

454 Pages

2012

C

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

409 Pages

2013

Data Science Central – Comprehensive List of Data Science Resources Data Science for Business 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

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

E

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

Forecasting in Economics, Business, Finance and Beyond

607 Pages

2015

F

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

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

Free Books for Learning Data Mining & Data Analysis Free Data Mining Books

Fundamental Numerical Methods and Data Analysis

2003

Fundamentals of Predictive Text Mining

232 Pages

2010

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

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

G

H

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

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

Introduction to Algorithms 3rd

1313 Pages

2009

Introduction to Algorithms

984 Pages

2001

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

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 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

Java Data Mining

545 Pages

2007

I

J

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

Latent Dirichlet Allocation in R

146 Pages

2012

L

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 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

Machine Learning

450 Pages

2009

Machine Learning – A Probabilistic Perspective

1098 Pages

2012

List of 35 Free Online Books on Machine Learning listudy – Free Online Books for Data Science M

Machine Learning – The Complete Guide

2017

Machine Learning – The Complete Guide

2015

Machine Learning Cheat Sheet

133 Pages

2014

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

Natural Language Processing for the Working Programmer

2006 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

Network Science Book

2009 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

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

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

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

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The Field Guide to Data Science

110 Pages

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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

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Theory of Decision under Uncertainty

279 Pages

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Think Bayes

213 Pages

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Think Python

240 Pages

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Think Stats 2

242 Pages

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Think Stats

140 Pages

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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

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Understanding Big Data

166 Pages

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Understanding Machine Learning – From Theory to Algorithms

449 Pages

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Understanding the Chief Data Officer

26 Pages

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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

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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

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