Bemærk: Kan leveres før jul.
Forventes på lager: 31-03-2022
This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.
| Forlag | Cambridge University Press |
| Forfattere | Andreas Lindholm, Niklas (Uppsala Universitet Wahlstrom, Fredrik (Linkopings Universitet Lindsten, Thomas B. (Uppsala Universitet Schon |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | New ed |
| Udgivelsesdato | 31-03-2022 |
| Første udgivelsesår | 2022 |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 350 |
| Indbinding | Hardback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 350 pages, Worked examples or Exercises |
| Mål | 183 x 260 x 22 |
| ISBN-13 / EAN-13 | 9781108843607 |