MLOps

  1. The goal of MLOps
  2. Agile Manifesto
  3. DevOps
  4. Machine Learning Operations
  5. What is MLOps?
  6. MLOps community
  7. Silicon
  8. Off-line (batch) vs On-line (streaming) learning
  9. Security question of MLOps
  10. Data
  11. MLOps progress
  12. Reload modules in Jupyter Notebook
  13. Testing ML
  14. What to track?
  15. What are the inputs and what are the artifacts?
  16. Tooling for MLOps
  17. DVC
  18. Data Pipelines (Workflow management)
  19. MLFlow
  20. MLFLow Tracking server backends
  21. MLFlow Tracking
  22. MLFlow Projects
  23. MLFlow Models
  24. Resources
  25. Goals of SCM
  26. MLOps notes