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First Course in Machine Learning + , Hardcover by Rogers, Simon; Girolami, Ma...
- Item No : 388329442880
- Condition : Like New
- Brand : No brand Info
- Seller : greatbookprices1
- Current Bid : US $87.17
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* Item Description
- First Course in Machine Learning + , Hardcover by Rogers, Simon; Girolami, Mark, ISBN 1498738486, ISBN-13 9781498738484, Like New Used, Free shipping in the US
For this second edition of an introductory text, there is a new section of advanced material. The section of th deals with basic topics, such as approaches to linear modeling, the Bayesian approach to machine learning, clustering, and latent variable models. Section 2, the new section, covers probabilistic aspects, with discussion of non-parametric models, Gaussian process regression, Markov chain Monte Carlo sampling, Gibbs sampling, and extensions to mixture modeling. Learning features include within-chapter and chapter-ending summaries and exercises. An interactive allows students to make and share notes, and the web site provides scripts, code, and examples in Python, R, and MATLAB. The text is for advanced undergraduate students and first-year graduate students with previous courses in computer science, engineering, and physics. For students without this background, the text offers boxes throughout with mathematical explanations and equations. Annotation ©2016 Ringgold, Inc., Portland, OR ()
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