Fortell venner om denne varen:
Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. utgave
Hastie, Trevor (Stanford University, California, USA)
Pris
HK$ 461
Bestillingsvarer
Forventes levert 25. jul - 1. aug
Legg til iMusic ønskeliste
Eller
Finnes også som:
Statistical Learning with Sparsity: The Lasso and Generalizations - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. utgave
Hastie, Trevor (Stanford University, California, USA)
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 |