Download Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition) written by Ian H. Witten, Eibe Frank, Mark A. Hall in PDF format. This book is under the category Computers and bearing the isbn/isbn13 number 123748569/9780123748560. You may reffer the table below for additional details of the book.
Data Mining: Practical Machine Learning Tools and Techniques; 3rd Edition (PDF); provides a thorough grounding in machine learning concepts together with practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly awaited 3rd edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs; interpreting outputs; evaluating results; and the algorithmic methods at the core of successful data mining.
Thorough updates in Data Mining: Practical Machine Learning Tools and Techniques 3e review the technical changes and modernizations that have taken place in the field after the last edition; including new material on Data Transformations; Ensemble Learning; Massive Data Sets; Multi-instance Learning; and also a new version of the popular Weka machine learning software developed by the authors. Witten; Frank; and Hall include both tried-and-true techniques of today along with methods at the leading edge of contemporary research.
The ebook is aimed at information systems practitioners; programmers; developers; consultants; information technology managers; data analysts; specification writers; data modelers; database R&D professionals; data mining professionals; data warehouse engineers. The textbook will also be helpful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to include data mining as part of their data management knowledge base and expertise.
“It is certainly one of my favorite data mining ebooks in my library” — Tom Breur; Principal; XLNT Consulting; Tilburg; The Netherlands
“This ebook Data Mining: Practical Machine Learning Tools and Techniques would be a strong contender for a technical data mining course. It is one of the best of its kind.” — Herb Edelstein; Principal; Data Mining Consultant; Two Crows Consulting.
“The authors provide enough theory to enable practical application; and it is this practical focus that separates this ebook from most; if not all; other books on this subject.” — Dorian Pyle; Director of Modeling at Numetrics and an internationally known author
P.S A newer version (4th edition) is also available. Contact us for details
NOTE: This product only includes the ebook; Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition) in PDF. No access codes are included.
Ian H. Witten, Eibe Frank, Mark A. Hall
Morgan Kaufmann; 3rd edition
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