Master Machine Learning : Master Scikit-learn algorithms and PyTorch deep learning architectures
Description: Machine learning is transforming industries from healthcare to finance, and Python has become the lingua franca for building intelligent systems. PyTorch and Scikit-learn are two of the most powerful frameworks driving today's AI revolution, enabling developers to build everything...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New Delhi :
BPB Publications
2026.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789378544101.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Master Machine Learning, Master Scikit-learn algorithms and PyTorch deep learning architectures, Valencia Munoz Luis, New Delhi, BPB Publications, 2026, 1 vol. (665 p.), 978-93-7854-410-1 |
Sommario:
- 1. Introduction to the Machine Learning World
- 2. Setting up Your Machine Learning Environment
- 3. Python Fundamentals for Machine Learning
- 4. Essential Machine Learning Libraries in Python
- 5. Introduction to Machine Learning with Scikit-learn
- 6. Machine Learning with Scikit-learn Advanced Topics
- 7. Introduction to Deep Learning
- 8. Introduction to PyTorch
- 9. Building Blocks of Neural Networks in PyTorch
- 10. Training Neural Networks with PyTorch
- 11. Convolutional Neural Networks with PyTorch
- 12. Recurrent Neural Networks with PyTorch
- 13. Generative Adversarial Networks with PyTorch
- 14. Reinforcement Learning with PyTorch
- 15. Advanced Deep Learning Topics
- 16. Building a Recommendation System
- 17. Natural Language Processing with PyTorch
- 18. Computer Vision with PyTorch
- 19. Time Series Analysis with PyTorch
- 20. Deploying Machine Learning Models