1. 1. MLOps
2. 2. MLOps
3. 1. 2.1. The goal of MLOps
   2. 2.2. Agile Manifesto
   3. 2.3. DevOps
   4. 2.4. Machine Learning Operations
   5. 2.5. What is MLOps?
   6. 2.6. MLOps community
   7. 2.7. Silicon
   8. 2.8. Off-line (batch) vs On-line (streaming) learning
   9. 2.9. Security question of MLOps
   10. 2.10. Data
   11. 2.11. MLOps progress
   12. 2.12. Reload modules in Jupyter Notebook
   13. 2.13. Testing ML
   14. 2.14. What to track?
   15. 2.15. What are the inputs and what are the artifacts?
   16. 2.16. Tooling for MLOps
   17. 2.17. DVC
   18. 2.18. Data Pipelines (Workflow management)
   19. 2.19. MLFlow
   20. 2.20. MLFLow Tracking server backends
   21. 2.21. MLFlow Tracking
   22. 2.22. MLFlow Projects
   23. 2.23. MLFlow Models
   24. 2.24. Resources
   25. 2.25. Goals of SCM
   26. 2.26. MLOps notes