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