[PDF.48wg] Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

[PDF.np39] Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine  Ian H. Witten, Eibe Frank epub
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Data Mining: Practical Machine  Ian H. Witten, Eibe Frank book review
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 | #1078794 in Books |  2005-06-22 |  2005-06-10 | Original language:English | PDF # 1 |  9.25 x1.13 x7.52l,2.50 | File type: PDF | 560 pages

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||2 of 2 people found the following review helpful.| Excellent Beginning Text for Software Engineers|By E. Kohlwey|I chose this book after looking at a number of options. I was not disappointed. The text is clearly written for individuals with an bachelor-level education in computer science. The author prefers pseudocode and text explanations of algorithms to equations, and when he does use equations they use clear, commonly unde| |“This book presents this new discipline in a very accessible form: both as a text to train the next generation of practitioners and researchers, and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references.

The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now featur...

You can specify the type of files you want, for your gadget.Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)   |  Ian H. Witten, Eibe Frank. A good, fresh read, highly recommended.

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