Machine learning theory and practice
This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on cl...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2023
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| Schlagworte: | |
| Online-Zugang: | DE-573 DE-863 DE-862 DE-91 URL des Erstveröffentlichers |
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| Zusammenfassung: | This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on clustering |
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| Beschreibung: | 1 Online-Ressource (xv, 282 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781003002611 9781000818253 |
| DOI: | 10.1201/9781003002611 |