Data Mining: Practical Machine Learning Tools and Techniques by Christopher J. Pal, Ian H. Witten, Eibe Frank, and Mark A. Hall is a comprehensive textbook published in 2016 by Elsevier Science & Technology. This trade paperback book covers practical machine learning tools and techniques in the subject area of computers. With 654 pages, it is a valuable resource for students and professionals in the fields of management information systems, artificial intelligence, database management, and data mining. It offers a detailed exploration of data mining concepts and methods, making it a must-read for anyone interested in these fields. Book has some pages with highlights!!!!
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