An Introduction to Machine Learning - 3rd Edition by Miroslav Kubat (Hardcover)

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Book Synopsis This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding , introductory information about temporal learning and hidden Markov models , and a much more detailed treatment of reinforcement learning . The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neura…