Jerome H. Friedman

Jerome H. Friedman

Dr. Friedman is one of the world's leading researchers in statistics and data mining. He has been a Professor of Statistics at Stanford University for over 20 years and has published on a wide range of data mining topics including nearest neighbor classification, logistical regressions, and high-dimensional data analysis. His primary research interest is in the area of machine learning.

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Books Authored by Jerome H. Friedman

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 09 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook
 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Post date: 09 Apr 2016
This book descibes the important ideas of data mining, machine learning, and bioinformatics in a common conceptual framework. Topics include neural networks, support vector machines, classification trees and boosting.
Publisher: Springer-Verlag GmbH
Publication date: 01 Dec 2015
Document Type: Textbook


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