[Read free ebook] Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
▲ Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal ▲
| #48076 in Books | Morgan Kaufmann | 2016-12-01 | Original language:English | 9.20 x1.10 x7.40l,3.01 | File Name: 0128042915 | 654 pages | Morgan Kaufmann
||6 of 6 people found the following review helpful.| Better stay with the 3rd edition|By Fury41|In comparison to the (excellent) 3rd edition, the major difference are two new chapters on probabilistic models and on deep learning.
It is certainly good to have these more recent topics covered. However, the writing style of the two chapters is totally different: While the other chapters contain lots of examples and are|From the Back Cover||Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques in real-world data mining situations. This highly anticip
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 result...
[PDF.oj70] Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) Rating: 4.63 (578 Votes)
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