The Elements of Statistical Learning by Trevor Hastie PDF Download

June 12, 2019 Popular, Tech

Download The Elements of Statistical Learning by Trevor Hastie PDF eBook free. “The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)” is a very comprehensive book sufficiently technical to get most of the plumbing behind machine learning.

Description of The Elements of Statistical Learning by Trevor Hastie PDF

“The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)” is a comprehensive mathematical treatment of machine learning from a statistical perspective. Trevor Hastie, Robert Tibshirani and Jerome Friedman are the authors of this book. This book is a miracle of clarity and comprehensiveness. It presents a unified approach to state of the art machine learning techniques from a statistical perspective. The layout is logical and the level of math is appropriate for applications-oriented engineers and computer scientists, as well as theorists.

The book provides a very illuminating counterpoint to other books that promote the Computational Learning Theory (COLT/kernels/ large margins) viewpoint of modern machine learning. Many of the same techniques such as boosting and support vector machines are discussed but are motivated in different ways. Appropriate regularization is seen as the key to avoiding overfitting with complex models, rather than margin maximization. This book is a nice follow on to introductory pattern recognition texts such as Duda and Hart, though it can be read without any prior pattern recognition knowledge. It provides a nice mix of theory and practical algorithms, illustrated with numerous examples.

Detail about The Elements of Statistical Learning by Trevor Hastie PDF

Name: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Author: Trevor Hastie, Robert Tibshirani and Jerome Friedman
ISBN: 0387848576
Language: English
Genre: Software Development
Format: PDF/ePub
Size: 25 MB
Page: 745
Price: Free

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