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MACHINE LEARNING


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    Sinopse

    This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning. Contents - Concept Learning and the General-to-Specific Ordering; Decision Tree Learning; Artificial Neural Networks; Evaluating Hypotheses; Bayesian Learning; Computational Learning Theory; Instance-Based Learning; Inductive Logic Programming; Analytical Learning; Combining Inductive and Analytical Learning; Reinforcement Learning.

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