10 Free Books On Machine Learning

Machine learning is a modern branch in computer science. Machine learning can be determined as language acquisition, the stock exchange works and traffic control. How to start using or even learning this topic? Below you can find a selection of 10 free books, which will help you to learn new and interesting information about computers’ capacity to learn.

  1. The Elements Of Statistical Learning : Data Mining, Inference and Prediction

The book will help to obtain basic knowledge in machine learning. The authors of the book are T.Hastie, R. Tibshirani, J.Friedman.

 

  1. Inductive Logical Programming

Inductive logic is a topic in machine learning course. It is widely used in research at the crossroads of machine learning and logical programming.

 

  1. Reinforcement Learning : An introduction by Richard S. Sutton, Andrew G. Barto

This book will help you to acquire ground knowledge in machine learning.

 

  1. Information Theory, Inference and Learning Algorithms

This is an e-book by David J.C. Mackay where you can find arithmetical coding for data compression, sparse graph codes to correct errors, etc.

 

  1. Gaussian Processes for Machine Learning

You can get to know a principled, practical, probabilistic approach to learning in kernel machines in an easy way.

 

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  1. The LION Way

The authors of this book are Roberto Battiti and Mauro Brunato. This book is really helpful if you want to learn more about machine learning and intelligent optimization.

 

  1. Bayesian Reasoning and Machine Learning

This book is written by David Barber and includes such topics as     linear algebra and different kinds of calculation. People who are interested in modern technologies of Graphical Models will agree that this book is beneficial.

 

  1. A Course In Machine Learning

This book is an introductory course to different fields of modern machine learning.

 

  1. Machine Learning, Neural And Statistical Classification

This book presents a wide range of classification approaches and techniques, describing their advantages and disadvantages.

 

  1. Introduction To Machine Learning

The book includes different parts of machine learning, which will help people to find practical application of theory.

 

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