Publication:
Data Mining : Practical Machine Learning Tools and Techniques
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Abstract
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.
Description
Authors
Witten, Ian H.
Frank, Eibe
Hall, Mark A.
Pal, Christopher J.
Alternate Authors
Advisor
Place of publication
Cambridge, MA, United States
Publisher
Morgan Kaufmann
Date
2017
Journal ISSN
Volume Title
Keywords
Data mining , Artificial Intelligence , Data Science , Database Administration , Management , Management Information Systems
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