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Forventes på lager: 02-07-2020
This book is a text intended for advanced undergraduates or graduate students which provides theoretical tools for analyzing and designing a large class of supervised, unsupervised, and reinforcement statistical machine learning algorithms using classical theorems from the fields of nonlinear optimization theory and mathematical statistics.
| Forlag | Taylor & Francis Ltd |
| Forfatter | Richard Golden |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 02-07-2020 |
| Første udgivelsesår | 2020 |
| Serie | Chapman & Hall/CRC Texts in Statistical Science |
| Illustrationer | 1 Tables, black and white |
| Originalsprog | United Kingdom |
| Sideantal | 506 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 506 pages, 1 Tables, black and white |
| Mål | 193 x 261 x 32 |
| ISBN-13 / EAN-13 | 9781138484696 |