Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Hastie, Trevor (Stanford University, California, USA) - Books - Taylor & Francis Ltd - 9780367738334 - December 18, 2020
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Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1st edition

Hastie, Trevor (Stanford University, California, USA)

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Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1st edition

In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generali

367 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 18, 2020
ISBN13 9780367738334
Publishers Taylor & Francis Ltd
Pages 368
Dimensions 234 × 156 × 23 mm   ·   618 g
Language English  

See all of Hastie, Trevor (Stanford University, California, USA) ( e.g. Paperback Book and Hardcover Book )