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Fundamentals of Machine Learning P 304 p. 19

Trappenberg, Thomas  著

在庫状況 海外在庫有り  お届け予定日 2週間  数量 冊 
価格 特価  \5,712(税込)         

発行年月 2019年11月
出版社/提供元
出版国 イギリス
言語 英語
媒体 冊子
装丁 paper
ページ数/巻数 272 p.
ジャンル 洋書/理工学/情報科学/人工知能
ISBN 9780198828044
商品コード 1030071539
本の性格 学術書
新刊案内掲載月 2019年05月
商品URL
参照
https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1030071539

内容

Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of everyday life. This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from science to engineering, and even its broader impact on our society. The book is written in a style that strikes a balance between brevity of explanation, rigorous mathematical argument, and outlines principle ideas. At the same time, it provides a comprehensive overview of a variety of methods and their application within this field. This includes an introduction to Bayesian approaches to modeling, as well as deep learning. Writing small programs to apply machine learning techniques is made easy by high level programming systems, and this book shows examples in Python with the machine learning libraries 'sklearn' and 'Keras'. The first four chapters concentrate on the practical side of applying machine learning techniques. The following four chapters discuss more fundamental concepts that includes their formulation in a probabilistic context. This is followed by two more chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society. Fundamentals of Machine Learning provides a brief and accessible introduction to this rapidly growing field, one that will appeal to students and researchers across computer science and computational neuroscience, as well as the broader cognitive sciences.

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