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Data Mining: Practical Machine Learning Tools and Techniques-Frank, 4TH INT'L ED

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Last updated on 18 Jun, 2024 08:39:05 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Binding
SOFTCOVER
Contents
SAME as in US edition
Cover Design
May differ from the Picture shown here
Cover Picture
Please see 2nd Image for actual book
Edition
4
If Order Expedited Shipping
DELIVERED WITHIN 5-7 DAYS BY DHL/UPS/FedEx/Aramex
International ISBN
9789351073895
Item Length
9.2 in
Packing
Shrinkwrapped- Box Packed
Subject Area
Computers
ISBN
9780128042915
Publication Year
2016
Type
Textbook
Format
Paperback
Language
English
Publication Name
Data Mining: Practical Machine Learning Tools and Techniques
Item Height
235mm
Author
Christopher Pal, Eibe Frank, Mark A. Hall, Ian H. Witten
Publisher
Elsevier Science & Technology
Item Width
191mm
Subject
Computer Science
Item Weight
1250g
Number of Pages
654 Pages

About this product

Product Information

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. It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-13
9780128042915
eBay Product ID (ePID)
227359859

Product Key Features

Author
Christopher Pal, Eibe Frank, Mark A. Hall, Ian H. Witten
Publication Name
Data Mining: Practical Machine Learning Tools and Techniques
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2016
Type
Textbook
Number of Pages
654 Pages

Dimensions

Item Height
235mm
Item Width
191mm
Item Weight
1250g

Additional Product Features

Title_Author
Ian H. Witten, Eibe Frank, Christopher Pal, Mark A. Hall
Country/Region of Manufacture
United States

Item description from the seller

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  • Good book for data mining

    A book good for both theoretical and technical aspects of machine learning highly recommend.

    Condition: NewSold by: wordery