Fortæl dine venner om denne vare:
Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. udgave
Trevor Hastie
Pris
SEK 719
Bestilles fra fjernlager
Forventes klar til forsendelse 14. - 17. jul.
Tilføj til din iMusic ønskeseddel
Eller
Findes også som:
Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. udgave
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
| Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
| Udgivet | 18. december 2020 |
| ISBN13 | 9780367738334 |
| Forlag | Taylor & Francis Ltd |
| Antal sider | 368 |
| Mål | 234 × 156 × 23 mm · 618 g |
| Sprog | Engelsk |
![Cover for Trevor Hastie · The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition - Springer Series in Statistics (Hardcover bog) [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-hardcover-bog&class=scaled&v=1409840036)