Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
Morgan Kaufmann; 4th edition
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.