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Go beyond JavaScript basics-learn advanced JavaScript features and techniques, as well as how...

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Learn Objective-C for Java Developers will guide experienced Java developers into the world of...

JavaFX 2.0: Introduction by Example
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JavaFX 2.0: Introduction by Example provides a quick start to programming the JavaFX 2.0...

CentOS 6 Linux Server Cookbook
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CentOS is a community-based enterprise class operating system and this book will provide a...

Linux Network Administrator's Guide, 3rd Edition
Networking

The Linux Network Administrator's Guide, 3rd Edition dispenses all the practical advice...

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Machine Learning

Machine learning concerns the construction and study of systems that can learn from data.

Learning from Data Streams: Processing Techniques in Sensor Networks

Data streams are everywhere these days. Look around and you will find sources of information that are continuously generating data. Our everyday life is now getting stuffed with devices that are...
Mar 27, 2014 Clicks: 327 Comments

Learning from Ubiquitous Data Streams

Nowadays information is generated and gathered from distributed data sources, at a very high rate, stressing communications and computing infrastructure, making it hard to transmit, compute and...
Mar 27, 2014 Clicks: 215 Comments

Programming Collective Intelligence

People have used the phrase collective intelligence for decades, and it has become increasingly popular and more important with the advent of new communications technologies. Although the...
Mar 28, 2014 Clicks: 547 Comments

The Elements of Statistical Learning

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and...
Apr 1, 2014 Clicks: 396 Comments

Elements of Statistical Learning

This is a 30 pages eBook about Elements of Statistical Learning. It's worth reading for the beginner.
Apr 1, 2014 Clicks: 116 Comments

An Introduction to Statistical Learning with Applications in R

Statistical learning refers to a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer...
Apr 1, 2014 Clicks: 751 Comments

LEARNING FROM DATA STREAMS WITH CONCEPT DRIFT

Increasing access to large, nonstationary datasets and corresponding demands to analyze these data has led to the development of new online algorithms for performing machine learning on data...
Apr 1, 2014 Clicks: 736 Comments

LEARNING FROM DATA WITH COMPLEX INTERACTIONS AND AMBIGUOUS LABELS

In this book, we develop and evaluate machine learning algorithms that can learn effectively from data with complex interactions and ambiguous labels. The need for such algorithms is motivated by...
Apr 1, 2014 Clicks: 435 Comments

Introduction to Theory of Computation

This is a free textbook for an undergraduate course on the Theory of Computation, which we have been teaching at Carleton University since 2002. Until the 2011/2012 academic year, this course was...
Apr 1, 2014 Clicks: 255 Comments

Theory of computation

What follows is an extremely abbreviated look at some of the important ideas of the general areas of automata theory, computability, and formal languages. In various respects, this can be thought...
Apr 1, 2014 Clicks: 249 Comments

INTRODUCTION TO THE COMPUTATION THEORY

All intellectual pursuits seek to help us understand reality — i.e., the truth. Even endeavours intended to appeal to our aesthetic sense are ultimately after truth; this is the point of...
Apr 1, 2014 Clicks: 407 Comments

Graphical Models, Exponential Families, and Variational Inference

The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models....
Apr 1, 2014 Clicks: 157 Comments

Latest Comments

a / Oct 23, 2014
This book provides one of the best primers on Big Data that I've seen for a general business and...

Asher / Sep 4, 2014
This book skips so many intermediate steps that it is not suitable for beginners.

Asher / Sep 4, 2014
By far the best intro to Java I have ever encountered,this book was all I needed to learn Java....

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Number of eBooks 19
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Comments: 10
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