List of all posted books
So far we have a total of 1242 books
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Post date: 09 Apr 2016This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Post date: 09 Apr 2016This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
An Introduction to Statistical Learning with Applications in R
Post date: 08 Apr 2016An introduction to statistical learning methods, this book contains a number of R labs with detailed explanations on how to implement the various methods in real life settings.
An Introduction to Statistical Learning with Applications in R
Post date: 08 Apr 2016An introduction to statistical learning methods, this book contains a number of R labs with detailed explanations on how to implement the various methods in real life settings.
Spring by Example (Version 1.5)
Post date: 07 Apr 2016This book shows Java programmers how to leverage any part of the Spring framework to build applications that are easier to code, easier to test, and easier to manage.
Publication date: 31 Dec 2015
Spring by Example (Version 1.5)
Post date: 07 Apr 2016This book shows Java programmers how to leverage any part of the Spring framework to build applications that are easier to code, easier to test, and easier to manage.
Publication date: 31 Dec 2015
Linear Algebra, Theory and Applications
Post date: 07 Apr 2016This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.
Publisher:
Textbook Equity LLC
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Linear Algebra, Theory and Applications
Post date: 07 Apr 2016This is a book on linear algebra and matrix theory. It is assumed that the reader has had some exposure to linear algebra and calculus.
Publisher:
Textbook Equity LLC
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Publication date: 29 Jan 2012
License: Creative Commons Attribution 3.0 Unported
Non-Programmer's Tutorial for Python 3
Post date: 06 Apr 2016A conversion of Non-Programmer's Tutorial for Python 2.6, this tutorial is designed to be an introduction to the Python programming language for someone with no programming experience.
Non-Programmer's Tutorial for Python 3
Post date: 06 Apr 2016A conversion of Non-Programmer's Tutorial for Python 2.6, this tutorial is designed to be an introduction to the Python programming language for someone with no programming experience.
Publication date: 14 Jan 2016
License: Creative Commons Attribution-ShareAlike 3.0 Unported
License: Creative Commons Attribution-ShareAlike 3.0 Unported
Non-Programmer's Tutorial for Python 2.6
Post date: 06 Apr 2016A tutorial designed to be a introduction to the Python programming language for someone with no programming experience.
Non-Programmer's Tutorial for Python 2.6
Post date: 06 Apr 2016A tutorial designed to be a introduction to the Python programming language for someone with no programming experience.
Publication date: 05 Sep 2011
License: Creative Commons Attribution-ShareAlike 3.0 Unported
License: Creative Commons Attribution-ShareAlike 3.0 Unported
How to be a Programmer: Community Version
Post date: 05 Apr 2016This essay attempts to summarize what good programmer must do to make a software system that succeeds for both the customer and myriad colleagues for whom he is partially responsible.
How to be a Programmer: Community Version
Post date: 05 Apr 2016This essay attempts to summarize what good programmer must do to make a software system that succeeds for both the customer and myriad colleagues for whom he is partially responsible.
Publication date: 01 Jan 2016
License: Creative Commons Attribution-ShareAlike 4.0 International
License: Creative Commons Attribution-ShareAlike 4.0 International
C# Programming Yellow Book, The "Bananas" Edition
Post date: 05 Apr 2016An introduction to computer programming using C# language used by the Department of Computer Science in the University of Hull as the basis of the First Year programming course.
Publication date: 07 Sep 2015
C# Programming Yellow Book, The "Bananas" Edition
Post date: 05 Apr 2016An introduction to computer programming using C# language used by the Department of Computer Science in the University of Hull as the basis of the First Year programming course.
Publication date: 07 Sep 2015
Introduction to Design Patterns in C++ with Qt, Second Edition
Post date: 04 Apr 2016Teaches C++ "the Qt way," with an emphasis on design patterns and reuse of open source libraries and tools.
Introduction to Design Patterns in C++ with Qt, Second Edition
Post date: 04 Apr 2016Teaches C++ "the Qt way," with an emphasis on design patterns and reuse of open source libraries and tools.
Ada Distilled for Ada 2005: An Introduction to Ada Programming for Experienced Computer Programmers
Post date: 04 Apr 2016This book is aimed at experienced programmers who want to learn Ada at the programming level.
Ada Distilled for Ada 2005: An Introduction to Ada Programming for Experienced Computer Programmers
Post date: 04 Apr 2016This book is aimed at experienced programmers who want to learn Ada at the programming level.
Publication date: 01 Jan 2011
License: Standard Copyright License
License: Standard Copyright License
Post date: 03 Apr 2016
A set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).
A set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).
Publication date: 01 Sep 2015
Post date: 03 Apr 2016A set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).
Publication date: 01 Sep 2015
Introduction to Machine Learning
Post date: 03 Apr 2016These lecture notes are used in an introductory course in Machine Learning at Purdue University. Strong background in Probability theory, Linear Algebra and Programming are a must.
Introduction to Machine Learning
Post date: 03 Apr 2016These lecture notes are used in an introductory course in Machine Learning at Purdue University. Strong background in Probability theory, Linear Algebra and Programming are a must.
Think Bayes: Bayesian Statistics in Python
Post date: 02 Apr 2016An introduction to Bayesian statistics using simple Python programs instead of complicated math.
Publisher:
O’Reilly Media, Inc.
Publication date: 04 Oct 2013
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Publication date: 04 Oct 2013
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Think Bayes: Bayesian Statistics in Python
Post date: 02 Apr 2016An introduction to Bayesian statistics using simple Python programs instead of complicated math.
Publisher:
O’Reilly Media, Inc.
Publication date: 04 Oct 2013
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Publication date: 04 Oct 2013
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Think Stats: Probability and Statistics for Programmers
Post date: 02 Apr 2016An introduction to Probability and Statistics for Python programmers.
Publisher:
O’Reilly Media, Inc.
Publication date: 27 Oct 2014
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Publication date: 27 Oct 2014
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Think Stats: Probability and Statistics for Programmers
Post date: 02 Apr 2016An introduction to Probability and Statistics for Python programmers.
Publisher:
O’Reilly Media, Inc.
Publication date: 27 Oct 2014
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Publication date: 27 Oct 2014
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Think Java: How to Think Like a Computer Scientist (Version 6)
Post date: 01 Apr 2016This book is an introduction to computer science and programming intended for people with little or no experience. It starts with the most basic concepts and are careful to define all terms when they are first used.
Publisher:
Green Tea Press
Publication date: 25 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Publication date: 25 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Think Java: How to Think Like a Computer Scientist (Version 6)
Post date: 01 Apr 2016This book is an introduction to computer science and programming intended for people with little or no experience. It starts with the most basic concepts and are careful to define all terms when they are first used.
Publisher:
Green Tea Press
Publication date: 25 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Publication date: 25 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
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