[PDF.95iq] Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)

[PDF.sr20] Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine  Ian H. Witten, Eibe Frank epub
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 | #2054738 in Books |  Morgan Kaufmann |  1999-10-25 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  .82 x7.29 x9.12l, | File type: PDF | 371 pages

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||35 of 36 people found the following review helpful.| Excellent introduction to data mining algorithms|By Dean from San Diego|Witten and Frank have generated a book that is readable without eliminating all technical (yes, even mathematical!) descriptions of the key data mining algorithms. And they are up-to-date, including support vector machines and boosting. There are sufficient examples of the techniques to provide readers|.com |Data mining techniques are used to power intelligent software, both on and off the Internet. Data Mining: Practical Machine Learning Tools explains the magic behind information extraction in a book that succeeds at bringing the latest in computer s

This book 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. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining―including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary ...

You easily download any file type for your gadget.Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)   |  Ian H. Witten, Eibe Frank. A good, fresh read, highly recommended.

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