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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Price: $89.99 – $62.65
(as of Dec 24,2024 07:58:27 UTC – Details)
Publisher : Springer; 2nd edition (February 1, 2009)
Language : English
Hardcover : 745 pages
ISBN-10 : 0387848576
ISBN-13 : 978-0387848570
Item Weight : 2.96 pounds
Dimensions : 9.3 x 6 x 1.4 inches
Customers say
Customers find the book’s content informative and useful for graduate students interested in building a deeper theoretical understanding of statistical learning. They appreciate the color illustrations and graphics, which are helpful and nicely colored. The coverage is impressive, covering many areas and applications. Many consider the book a good value for money. However, opinions differ on comprehension and chapter organization. Some find the chapters clear and self-contained, with to-the-point concise explanations, while others mention that the chapters are blurry and difficult to understand.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Are you interested in diving deeper into the world of statistical learning and data mining? Look no further than “The Elements of Statistical Learning” by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
This comprehensive textbook covers the fundamental principles of statistical learning, including topics such as supervised and unsupervised learning, model assessment and selection, and more. The second edition includes new chapters on deep learning, nonparametric regression, and ensemble methods, making it an essential resource for both beginners and experienced practitioners.
Whether you’re a student, researcher, or industry professional, this book offers a thorough introduction to the field of statistical learning and provides valuable insights into how to effectively analyze and interpret data. Pick up your copy today and start mastering the art of data mining, inference, and prediction.
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