Search 6,000+ CA Community College Courses
To Split or Not to Split: From Cross Validation to Debiased Machine Learning

To Split or Not to Split: From Cross Validation to Debiased Machine Learning

Harvard CMSA via YouTube Direct link

Intro

1 of 13
Next

1 of 13

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

To Split or Not to Split: From Cross Validation to Debiased Machine Learning

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Intro
  2. 2 Data streaming
  3. 3 Addition method
  4. 4 Naive ideas
  5. 5 Natural questions
  6. 6 Dependence
  7. 7 Intuition
  8. 8 Remarks
  9. 9 Generous method moment
  10. 10 Data splitting
  11. 11 Data augmentation
  12. 12 Two examples
  13. 13 Double descent curve

Never Stop Learning.

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

Sign up for free
Someone learning on their laptop while sitting on the floor.