Machine Learning An Algorithmic Perspective, Second Edition
Edition: 2nd 2014 (Revised)
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Description: Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revises coverage of kernel methods and adds new material on random forests and model selection. The book retains its popular algorithmic approach as well as its focus on how to use the algorithms that make up machine learning methods and how and why these algorithms work.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
Copyright year: 2014
Publisher: Taylor & Francis Group
Publication date: 10/8/2014
Size: 7.00" wide x 10.00" long x 1.25" tall