Celebrating Technology Leaders - Machine Learning Careers: Looking Beyond the Hype

Celebrating Technology Leaders - Machine Learning Careers: Looking Beyond the Hype

Association for Computing Machinery (ACM) via YouTube Direct link

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28 of 38

28 of 38

Conferences

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Celebrating Technology Leaders - Machine Learning Careers: Looking Beyond the Hype

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  1. 1 Introduction
  2. 2 Question
  3. 3 Nehas Story
  4. 4 PhD Myth
  5. 5 Hype vs Reality
  6. 6 Learning is not magic
  7. 7 Emphasizing data
  8. 8 Types of problems for ML
  9. 9 When to pick a good problem
  10. 10 Translating common sense into features
  11. 11 Industrial perspective
  12. 12 Chatbots
  13. 13 Opportunities and Challenges
  14. 14 Challenges
  15. 15 Challenges from academia
  16. 16 Opportunities
  17. 17 Audience Questions
  18. 18 Know Your Value
  19. 19 Have a Network Mindset
  20. 20 Improve Your Strengths
  21. 21 Audience Question
  22. 22 Making Tough Decisions
  23. 23 Bring Everyone Along
  24. 24 Take Responsibility
  25. 25 Netflix
  26. 26 Principles of Parsimony
  27. 27 Developing Features
  28. 28 Conferences
  29. 29 LinkedIn
  30. 30 Network
  31. 31 Github
  32. 32 Audience Feedback
  33. 33 Advice for Students
  34. 34 What Skills Do You Need
  35. 35 Final Thoughts
  36. 36 Advice
  37. 37 Final Advice
  38. 38 Keyword

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