Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition) – eBook

Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition (PDF), provides a thorough grounding in machine learning concepts together with practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly awaited 3rd 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 the algorithmic methods at the core of successful data mining.

Thorough updates in Data Mining: Practical Machine Learning Tools and Techniques 3e review the technical changes and modernizations that have taken place in the field after the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, and also a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today along with methods at the leading edge of contemporary research.

The ebook is aimed at information systems practitioners, programmers, developers, consultants, information technology managers, data analysts, specification writers, data modelers, database R&D professionals, data mining professionals, data warehouse engineers. The textbook will also be helpful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to include data mining as part of their data management knowledge base and expertise.

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NOTE: This product only includes the ebook, Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition) in PDF. No access codes are included.