tailieunhanh - Ebook Introduction to machine learning (2nd edition): Part 2
(BQ) Part 2 book "Introduction to machine learning" has contents: Linear discrimination, multilayer perceptrons, local models, kernel machines, hidden markov models, graphical models, combining multiple learners, combining multiple learners, design and analysis of machine learning experiments. | Introduction to Machine Learning Second Edition Adaptive Computation and Machine Learning Thomas Dietterich, Editor Christopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns, Associate Editors A complete list of books published in The Adaptive Computation and Machine Learning series appears at the back of this book. Introduction to Machine Learning Second Edition Ethem Alpaydın The MIT Press Cambridge, Massachusetts London, England
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