Data Mining: Practical Machine Learning Tools and Techniques

Price: $79.95
(as of Dec 24,2024 16:45:04 UTC – Details)

Publisher ‏ : ‎ Morgan Kaufmann; 5th edition (May 6, 2025)
Language ‏ : ‎ English
Paperback ‏ : ‎ 688 pages
ISBN-10 ‏ : ‎ 0443158886
ISBN-13 ‏ : ‎ 978-0443158889
Item Weight ‏ : ‎ 15.9 ounces

Data Mining: Practical Machine Learning Tools and Techniques

Data mining is a crucial aspect of modern businesses, allowing companies to extract valuable insights and patterns from vast amounts of data. One of the key techniques used in data mining is machine learning, which involves developing algorithms that can learn from and make predictions based on data.

In the book “Data Mining: Practical Machine Learning Tools and Techniques,” authors Ian H. Witten, Eibe Frank, and Mark A. Hall provide a comprehensive overview of the tools and techniques used in data mining. The book covers a wide range of topics, including data preprocessing, classification, clustering, association rule mining, and more.

One of the key strengths of this book is its practical approach, with a focus on real-world examples and case studies. The authors provide step-by-step instructions on how to apply different machine learning algorithms to solve common data mining problems, making it an invaluable resource for both beginners and experienced practitioners.

Whether you are a data scientist, business analyst, or anyone else interested in leveraging the power of data mining and machine learning, “Data Mining: Practical Machine Learning Tools and Techniques” is a must-read. It provides a solid foundation in the fundamentals of data mining and equips you with the tools and techniques needed to extract valuable insights from your data.
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