Extending the Theory of ML for Human-Centric Applications

Extending the Theory of ML for Human-Centric Applications

Stanford Online via YouTube Direct link

Human guinea pigs

7 of 18

7 of 18

Human guinea pigs

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Extending the Theory of ML for Human-Centric Applications

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Examples of ML
  3. 3 Use of histories of arrests
  4. 4 The short answer
  5. 5 Better testing
  6. 6 Unfair predictions
  7. 7 Human guinea pigs
  8. 8 Causality
  9. 9 Concerns
  10. 10 Historical data
  11. 11 The legal system
  12. 12 The cost of mistakes
  13. 13 Active research
  14. 14 Drivingcentric object detection
  15. 15 Example
  16. 16 Hypothesis
  17. 17 Facial Recognition
  18. 18 Images

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.