Machine learning an algorithmic perspective

A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning a...

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Bibliographic Details
Other Authors: Marsland, Stephen, eauthor (eauthor)
Format: eBook
Language:Inglés
Published: Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis 2014.
Edition:Second edition
Series:Chapman & Hall/CRC machine learning & pattern recognition series.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629774506719
Description
Summary:A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.
Item Description:"A Chapman & Hall book."
Physical Description:1 online resource (xx, 430 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780429102509
9781498759786