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How to Handle the Training Model Hangover - Dev & DevOps Conf (Tuscany)

Pratik Parmar
December 07, 2019
Programming
0
63

How to Handle the Training Model Hangover - Dev & DevOps Conf (Tuscany)

Pratik Parmar

December 07, 2019
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Transcript

  1. PRESENTATION BY PRATIK PARMAR How to handle the hangover?

  2. None

  3. PRESENTATION BY PRATIK PARMAR How to handle the “Training Model”

    hangover?

  4. I Am Pratik Parmar I am here to bore you

    with Machine Learning! Hello! You can contact me at @hackyroot

  5. AI DEVOPS CLOUD NATIVE KUBERNETES BLOCKCHAIN VR DIGITAL TRANSFORMATION -

    YOUR CLIENT “ * Your client is the CEO

  6. AI

  7. AI MACHINE LEARNING

  8. None

  9. Product Dev IT Ops InfoSec QA Data Scientist ML Engineer

  10. None
  11. None
  12. None
  13. None

  14. MODEL IN PRODUCTION: • • • •

  15. None

  16. CUSTOM ML PLATFORMS

  17. None
  18. None

  19. KEY CONCEPT IN TRACKING

  20. MLFLOW TRACKING: EXPERIMENTS

  21. TRACKING UI: INSPECTING RUNS

  22. MLFLOW PROJECTS: REPRODUCIBLE RUNS

  23. MLFLOW PROJECTS: EXAMPLE MLFLOW PROJECT

  24. MLFLOW MODELS: MODEL PACKAGING

  25. None

  26. I’M LOOKING FOR NEW OPPORTUNITIES AS A DATA SCIENTIST! TALENT

    ALERT!
  27. None
  28. None

  29. You can find me at: @hackyroot [email protected] Any more questions?

    Thank You!