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Synopsis
Recent years have seen an explosion of work on machine learning, the computational study of algorithms that improve performance based on experience. Research on rule induction, neural networks, genetic algorithms, case-based reasoning, and probabilistic inference has produced a variety of robust methods for inducing knowledge from training data. This book covers the main induction algorithms explored in the literature and presents them within a coherent theoretical framework that moves beyond traditional paradigm boundaries. Elements of Machine Learning provides a comprehensive introduction to the fundamental concepts and problems in the field. The book illustrates a variety of basic algorithms for inducing simple concepts from experience, presents alternatives for organizing learned concepts into large-scale structures, and discusses adaptations of the learning methods to more complex problem-solving tasks. The chapters describe these computational techniques in detail and give examples of their operation, along with exercises and references to the literature. This text is suitable for use in graduate courses on machine learning. Researchers and students in artificial intelligence, cognitive science, and statistics will find it a useful and informative addition to their libraries.
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Elements of Machine Learning
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Elements of Machine Learning
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Elements of Machine Learning (Morgan Kaufmann Series in Machine Learning)
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Elements in Machine Learning (The Morgan Kaufmann Series in Machine Learning).
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Morgan Kaufmann Publishers, Inc., 1996
ISBN 10: 1558603018
ISBN 13: 9781558603011
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Elements of Machine Learning
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Reprint ] Publisher: Morgan Kaufmann Publishers, Inc Pub Date: 9/15/1995 Binding: Hardcover Pages: 419 Reprint edition. Seller Inventory # 6946041
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Elements of Machine Learning (Morgan Kaufmann Series in Machine Learning)
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Elements of Machine Learning (Morgan Kaufmann Series in Machine Learning)
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Elements of Machine Learning (Morgan Kaufmann Series in Machine Learning)
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