This book is about the tools and techniques of machine learning used in practical data mining for finding, and describing, structural patterns in data. As with any burgeoning new technology that enjoys intense commercial attention, the use of data mining is surrounded by a great deal of hype in the technical—and sometimes the popular—press.

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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.

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Explains how machine learning algorithms for data mining work. Helps you compare and evaluate the results of different techniques. Covers performance improvement techniques, including input preprocessing and combining output from different methods. Features in-depth information on probabilistic models and deep learning.

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Data Mining: Practical Machine Learning Tools and Techniques PDF Book by Ian H. Witten, Eibe Frank 2005 ePub Free Download. isbn: 9780120884070. The book is a major revision of the first edition that appeared in 1999.

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless with an inquisitive nature.