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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Detalles Bibliográficos
Otros Autores: Marsland, Stephen, eauthor (eauthor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis 2014.
Edición:Second edition
Colección:Chapman & Hall/CRC machine learning & pattern recognition series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629774506719
Descripción
Sumario: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.
Notas:"A Chapman & Hall book."
Descripción Física:1 online resource (xx, 430 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780429102509
9781498759786