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Data Mining: Practical Machine Learning Tools And Techniques With Java Implementations

Data Mining: Practical Machine Learning Tools And Techniques With Java Implementations

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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. 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 research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource. Complementing the authors' instruction is a fully functional platform-independent Java software system for machine learning, available for download. Apply it to the sample data sets provided to refine your data mining skills, apply it to your own data to discern meaningful patterns and generate valuable insights, adapt it for your specialized data mining applications, or use it to develop your own machine learning schemes.

Details of Book

ISBN13: 9781558605527
ISBN10: 1558605525
Language: English
Publisher: Morgan Kaufmann
Publication Year: 1999
Format: Paperback

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A note on book covers: while we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

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  • One Line Summary

    Comprehensive guide for practical machine learning in Java.

  • Who is this book for?

    If you're diving into data mining and want hands-on skills with Java, this book is a treasure. It takes complex concepts and makes them accessible, all while giving you real tools to try out your ideas. Perfect for anyone eager to turn data into insights effectively.

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