Search Results - Hastie, Trevor
Trevor Hastie
Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including ''The Elements of Statistical Learning: Data Mining, Inference, and Prediction''. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge. He also contributed to the development of S.
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The Elements of Statistical Learning by Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
Published 2001Call Number: Loading…
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ELEMENTS OF STATISTICAL LEARNING by HASTIE TREVOR
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Hastie, Trevor
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An Introduction to Statistical Learning: With Applications in R by James, Gareth
Published 2013Other Authors:Call Number: Loading…
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An Introduction to Statistical Learning by Gareth, James
Published 2021Other Authors: “…Witten, Daniela; Hastie, Trevor; Tibshirani, Robert…”
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THE ELEMENTS OF STATISTICAL LEARNING, DATA MINING INTERFERENCE AND PREDICTOIN by HASTIE TREVOR , ROBART TIBSHIRANI
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The elements of statistical learning : data mining, inference, and prediction by Hastie Trevor
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THE ELEMENTS OF STATISTICAL LEARNING by HASTIE TREVOR, TIBSHIRANI ROBERT AND FRIDMAN JEROME
Published 2016Call Number: Loading…
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ELEMENTS OF STATISTICAL LEARNING: DATA MINING, INFERENCE AND PREDICTION by HASTIE TREVOR
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THE ELEMENTS OF STATISTICAL LEARNING : DATA MINING , INFERENCE AND PREDICTION by HASTIE, TREVOR : TIBSHIRAN,I R
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Related Subjects
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COMPUTER ENGINEERING
DATA MINING
Data mining
Electronic Data Processing
Electronic data processing
Mathematical Models
Mathematical Statistics
Mathematical statistics; R (Computer program language); Statistics; Mathematical models
Mathematics - Data Processing
Mathematics--Data processing
R (Computer Program Language)
Statistics
Supervised Learning (Machine Learning)
Supervised learning (Machine learning)
The Elements of Statistical Learning,Data Mining, Inference, and Prediction,