Machine Learning: An Algorithmic Perspective

Machine Learning: An Algorithmic Perspective(Chapman & Hall/Crc Machine Learning & Pattern Recognition) 2nd Edition

There have been some interesting developments in machine learning over the past four years, since the 1st edition of this book came out. One is the rise of Deep Belief Networks as an area of real research interest (and business interest, as large internet-based companies look to snap up every small company working in the area), while another is the continuing work on statistical interpretations of machine learning algorithms. This second one is very good for the field as an area of research, but it does mean that computer science students, whose statistical background can be rather lacking, find it hard to get started in an area that they are sure should be of interest to them. The hope is that this book, focussing on the algorithms of machine learning as it does, will help such students get a handle on the ideas, and that it will start them on a journey towards mastery of the relevant mathematics and statistics as well as the necessary programming and experimentation.

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