Machine Learning: A Probabilistic Perspective
Kevin P. Murphy, Google
The MIT Press, 2012
ISBN: 9780262018029 ;
Language: English
Machine Learning offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The book is written in an informal, accessible style, complete with pseudocode for the most important algorithms. All topics are copiously illustrated with colorful images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way.
Almost all the models described have been implemented in a MATLAB software package (some code requires Statistics and Machine Learning Toolbox), which is available online.
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