Machine Learning Education at Uber - Developing an Internal ML Platform

Machine Learning Education at Uber - Developing an Internal ML Platform

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[] Learning development timeline

11 of 25

11 of 25

[] Learning development timeline

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Machine Learning Education at Uber - Developing an Internal ML Platform

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  1. 1 [] Melissa and Michael's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Please subscribe to our newsletters and leave reviews on our podcasts!
  4. 4 [] Machine learning at Uber education program
  5. 5 [] The Uber courses
  6. 6 [] Tailoring the Uber education system
  7. 7 [] Growing out of the ML-Ed platform efforts
  8. 8 [] Expanding the ML Market Size
  9. 9 [] Relationship evolution
  10. 10 [] Reproducibility best practices
  11. 11 [] Learning development timeline
  12. 12 [] Courses effectiveness evaluation
  13. 13 [] Tracking Progress Challenge
  14. 14 [] ML platforms for internal tools
  15. 15 [] Impact of ML Education at Uber
  16. 16 [] Recommendations to companies who want to start an ML-Ed platform
  17. 17 [] Early ML Adoption Program
  18. 18 [] Homegrown or home-built platform
  19. 19 [] Feature creation to a course
  20. 20 [] ML Education at Uber: Frameworks Inspired by Engineering Principles
  21. 21 [] The Future of ML Education at Uber
  22. 22 [] Unclear ways to spread ML knowledge
  23. 23 [] Module for Generative AI and ChatGPT
  24. 24 [] Measurement of success
  25. 25 [] Wrap up

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