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Amazon.co.uk - Machine Learning: A Theoretical Approach
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Product Name: Machine Learning : A Theoretical Approach
Manufacturer: Balas K. Natarajan
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This is the first comprehensive introduction to computational learning theory.The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study.The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable.After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks.The presentation is intended for a broad audience--the author's ability to motivate and pace discussions for beginners has been praised by reviewers.Each chapter contains numerous examples and exercises, as well as a useful summary of important results.An excellent introduction to the area, suitable either for a first course, or as a component in general machine learning and advanced AI courses.Also an important reference for AI researchers.
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