Data Engineering for AI/ML Pipelines : Ultimate guide to data pipelines and architectures for AI/ML applications
Description: Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrast...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| Accés en línia: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365899030.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data Engineering for AI/ML Pipelines, Ultimate guide to data pipelines and architectures for AI/ML applications, Venkata Karthik Penikalapati, New Delhi, BPB Publications, 2024, 1 vol. (327 p.), 978-93-6589-903-0 |
Taula de continguts:
- 1. Introduction to Data Engineering for AI/ML
- 2. Lifecycle of AI/ML Data Engineering
- 3. Architecting Data Solutions for AI/ML
- 4. Technology Selection in AI/ML Data Engineering
- 5. Data Generation and Collection for AI/ML
- 6. Data Storage and Management in AI/ML
- 7. Data Ingestion and Preparation for ML
- 8. Transforming and Processing Data for AI/ML
- 9. Model Deployment and Data Serving
- 10. Security and Privacy in AI/ML Data Engineering
- 11. Emerging Trends and Future Direction