Hiển thị biểu ghi dạng vắn tắt

dc.contributor.authorWitten, Ian H.
dc.contributor.authorFrank, Eibe
dc.contributor.authorHall, Mark A.
dc.contributor.authorPal, Christopher J.
dc.date.issued2017
dc.identifier.isbn978-0-12-804291-5
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/9087
dc.description.abstractThis book offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning.
dc.formatxxxii, 621 p. : ill.
dc.language.isoen
dc.publisherMorgan Kaufmann
dc.subjectData mining
dc.titleData mining : practical machine learning tools and techniques
dc.typeBook
dc.description.version4th edition


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Hiển thị biểu ghi dạng vắn tắt