Statistical Learning with Sparsity |
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| Author:
| Hastie, Trevor
Tibshirani, Robert
Wainwright, Martin |
| Series title: | Chapman and Hall/CRC Monographs on Statistics and Applied Probability Ser. |
| ISBN: | 978-0-367-73833-4 |
| Publication Date: | Dec 2020 |
| Publisher: | CRC Press LLC
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| Imprint: | Chapman & Hall/CRC |
| Book Format: | Paperback |
| List Price: | USD $54.95 |
Book Description:
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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
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