40 Algorithms Every Data Scientist Should Know : Navigating through essential AI and ML algorithms
Description: Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should h...
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| Autori principali: | Weichenberger, Jürgen, Kwon, Huw (Autore) |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789355519832.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • 40 Algorithms Every Data Scientist Should Know, Navigating through essential AI and ML algorithms, Jürgen Weichenberger, Huw Kwon, New Delhi, BPB Publications, 2024, 1 vol. (685 p.), 978-93-5551-983-2 |
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