[PDF.09iz] Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (Morgan Kaufmann Series in Data Management Systems)

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

[PDF.mp37] Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine  Ian H. Witten, Eibe Frank, Mark A. Hall epub
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 | #86281 in Books |  Ian H Witten |  2011-01-20 |  2011-01-06 | Original language:English | PDF # 1 |  9.25 x1.50 x7.50l,3.00 | File type: PDF | 664 pages

 | Data Mining Practical Machine Learning Tools and Techniques

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||2 of 2 people found the following review helpful.| Good for overview and intuition|By Andrew|First of all, I would advise to think of this as a 400-page book with a WEKA appendix. Its price is about right for a 400-page machine learning textbook, and you don't even need to know that WEKA exists for the first 400 pages. I never read any of the WEKA stuff and got tons out of the textbook part.

There's very little act| ||"...offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations." |"Co-author Witten is the author of other well-known books on data mining, and he

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third 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 t...

You can specify the type of files you want, for your device.Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (Morgan Kaufmann Series in Data Management Systems)   |  Ian H. Witten, Eibe Frank, Mark A. Hall. Just read it with an open mind because none of us really know.

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