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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

物品 #: 1583506

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

90% of respondents would recommend this to a friend

物品 #: 1583506

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產品詳情

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Publisher	The MIT Press
Publication date	August 24, 2012
Edition	Illustrated
Language	English
Print length	1104 pages
ISBN-10	0262018020
ISBN-13	978-0262018029
Item Weight	4.14 pounds (1.88 kg)
Dimensions	8.27 x 1.77 x 9.25 inches (21 x 4.5 x 23.5 cm)

產品敘述

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

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題: 如何從 Ubuy 在線購物 Machine Learning: A Probabilistic Perspective？

回答: 從 Ubuy 在線購物 Machine Learning: A Probabilistic Perspective 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。
題: Machine Learning: A Probabilistic Perspective 可以在 Hong Kong 在線購物嗎？

回答: 是的，您可以在 Ubuy Hong Kong 以合理的價格購買該產品。. Machine Learning: A Probabilistic Perspective 在本地不可用，但您可以信任我們的快遞服務。
題: 下訂單後需要多長時間才能收到產品？

回答: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。

Linear Editorial Review

This book is often referred to as the bible of machine learning for good reason. It covers all topics in Considerable depth, providing a solid foundation for anyone looking to begin real work in ML. The author's mathematical explanations are clear and easy to follow, although it should be noted that a reasonably advanced background in estimation theory is required to get the most out of this book. The visual illustrations do an excellent job of explaining concepts that can otherwise be challenging to grasp. The content is heavy on theory, making it more of a reference book than a quick read.

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優點

Thorough coverage of all topics
Clear mathematical explanations
Excellent visual illustrations

缺點

Heavy on theory

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)