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.
The book will help to obtain basic knowledge in machine learning. The authors of the book are T.Hastie, R. Tibshirani, J.Friedman.
Inductive logic is a topic in machine learning course. It is widely used in research at the crossroads of machine learning and logical programming.
This book will help you to acquire ground knowledge in machine learning.
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.
You can get to know a principled, practical, probabilistic approach to learning in kernel machines in an easy way.
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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.
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.
This book is an introductory course to different fields of modern machine learning.
This book presents a wide range of classification approaches and techniques, describing their advantages and disadvantages.
The book includes different parts of machine learning, which will help people to find practical application of theory.