Data mining : practical machine learning tools and techniques /

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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, 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 acclaime...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Witten, I. H. (Ian H.) (Autor), Frank, Eibe (Autor), Hall, Mark A. (Mark Andrew) (Autor), Pal, Christopher J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA, United States : Morgan Kaufmann, [2017]
Edición:Fourth edition
Colección:Morgan Kaufmann series in data management systems.
Temas:
Data mining.
Data Mining
Exploration de donn�ees (Informatique)
COMPUTERS > General.
Data mining
Graphical & digital media applications.
Machine learning.
Library, archive & information management.
Information technology: general issues.
Databases.
Enterprise software.
Data capture & analysis.
Artificial intelligence.
Business & Management.
Computers and IT.
Acceso en línea:Texto completo
Descripción
Sumario:Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, 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. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at https://www.cs.waikato.ac.nz/~ml/weka/book.html.
Descripción Física:1 online resource (xxxii, 621 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 573-600) and index
ISBN:9780128043578
0128043571

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