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...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| Online toegang: | Accès Université d'Orléans et IFPM |
| Opmerking: |
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 |
Inhoudsopgave:
- 1. Fundamentals
- 2. Typical Data Structures
- 3. 40 AI/ML Algorithms Overview
- 4. Basic Supervised Learning Algorithms
- 5. Advanced Supervised Learning Algorithms
- 6. Basic Unsupervised Learning Algorithms
- 7. Advanced Unsupervised Learning Algorithms
- 8. Basic Reinforcement Learning Algorithms
- 9. Advanced Reinforcement Learning Algorithms
- 10. Basic Semi-Supervised Learning Algorithms
- 11. Advanced Semi-Supervised Learning Algorithms
- 12. Natural Language Processing
- 13. Computer Vision
- 14. Large-Scale Algorithms
- 15. Outlook into the Future: Quantum Machine Learning