Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) – eBook
- Authors: Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
- File Size: 7 MB
- Format: PDF
- Length: 665 pages
- Publisher: Morgan Kaufmann; 4th edition
- Publication Date: October 1, 2016
- Language: English
- ASIN: B01MG31RL3
- ISBN-10: 0128042915, 0123748569
- ISBN-13: 9780128042915, 9780123748560
Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition, (PDF) offers a thorough grounding in machine learning concepts, together with practical advice on applying these tools and techniques in real-world data mining situations. This highly awaited 4th 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 core of successful data mining approaches.
Extensive updates show the technical changes and modernizations that have taken place in the field after the last edition, including vital new chapters on probabilistic methods and on deep learning. Accompanying the ebook is a new version of the renowned WEKA machine learning software from the University of Waikato. Authors Frank, Witten, Hall, and Pal include today’s techniques integrated with the methods at the leading edge of contemporary research.
NOTE: The product only includes the ebook, Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition in PDF. No access codes are included.