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Fundamentals of Pattern Recognition and Machine Learning
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Pages: 357
Authors: Ulisses Braga-Neto
Categories: Computers
Type: BOOK - Published: 2020-09-10 - Publisher: Springer Nature

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Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at
Pattern Recognition and Machine Learning
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Authors: Christopher M. Bishop
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This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi
Fundamentals of Pattern Recognition and Machine Learning
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Authors: Ulisses Braga-Neto
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This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionalit
Essentials of Pattern Recognition
Language: en
Pages: 401
Authors: Jianxin Wu
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Type: BOOK - Published: 2020-11-19 - Publisher: Cambridge University Press

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An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.
Machine Learning Fundamentals
Language: en
Pages: 424
Authors: Hui Jiang
Categories: Computers
Type: BOOK - Published: 2021-11-25 - Publisher: Cambridge University Press

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This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The