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Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. utgave
Trevor Hastie
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Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. utgave
Trevor Hastie
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 18. desember 2020 |
| ISBN13 | 9780367738334 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 368 |
| Mål | 234 × 156 × 23 mm · 618 g |
| Språk | Engelsk |
![Cover for Trevor Hastie · The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition - Springer Series in Statistics (Innbunden bok) [Second Edition 2009 edition] (2009)](https://imusic.b-cdn.net/images/item/original/570/9780387848570.jpg?trevor-hastie-2009-the-elements-of-statistical-learning-data-mining-inference-and-prediction-second-edition-springer-series-in-statistics-innbunden-bok&class=scaled&v=1409840036)