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

SKU: data-mining-practical-machine-learning-tools-and-techniques-3rd-edition-ebook

Original price was: $56.20.Current price is: $8.00.

eBook Details

  • Authors: Ian H. Witten, Eibe Frank, Mark A. Hall
  • File Size: 7 MB
  • Format: PDF
  • Length: 664 pages
  • Publisher: Morgan Kaufmann; Third edition
  • Publication Date: January 3, 2011
  • Language: English
  • ISBN-10: 0123748569
  • ISBN-13: 9780123748560

A newer edition is also available. See below

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Description

Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition (PDF) is your essential guide to mastering machine learning and data mining. This rewritten and highly anticipated 3rd edition delivers comprehensive insights into machine learning concepts while offering hands-on strategies for leveraging advanced tools in practical data mining applications. You will gain the knowledge necessary to prepare your input data, interpret outputs effectively, evaluate results, and master the algorithmic strategies crucial to successful data mining endeavors.

The revised Data Mining: Practical Machine Learning Tools and Techniques 3e includes significant updates that reflect the latest technical advancements and modern methodologies that have emerged since the previous edition. Noteworthy enhancements encompass fresh content on Data Transformations, Ensemble Learning techniques, handling Massive Data Sets, and exploring Multi-instance Learning. Additionally, this edition features an updated version of the popular Weka machine learning software developed by the authors, providing users with the latest tools to implement data mining effectively. Witten, Frank, and Hall blend traditional methodologies with cutting-edge techniques, ensuring readers are equipped with both foundational practices and pioneering research advancements.

This ebook is tailored for a diverse audience including information systems practitioners, developers, programmers, IT managers, data analysts, specification writers, data modelers, and database R&D professionals. It serves as a vital resource for data mining experts, aspiring data warehouse engineers, and anyone interested in understanding the complexities of data management. Furthermore, this textbook is an ideal companion for professors and students engaged in upper-level undergraduate and graduate courses focused on data mining and machine learning, enhancing their educational journeys with practical insights into data management strategies.

Reviews

It is certainly one of my favorite data mining ebooks in my library” — Tom Breur, Principal, XLNT Consulting, Tilburg, The Netherlands

This ebook, Data Mining: Practical Machine Learning Tools and Techniques, would be a strong contender for a technical data mining course. It is undoubtedly one of the best in its category.” — Herb Edelstein, Principal, Data Mining Consultant, Two Crows Consulting.

The authors deliver just enough theoretical background to empower practical application, and it’s this hands-on focus that distinguishes this ebook from most—if not all—others in the arena.” — Dorian Pyle, Director of Modeling at Numetrics and an internationally recognized author

978-0123748560

P.S. A newer edition (4th edition) is also available. Contact us for further details.

NOTE: This product exclusively includes the ebook, Data Mining: Practical Machine Learning Tools and Techniques (3rd Edition) in PDF format. Please be aware that access codes are not included.

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