Completed
Desirable properties
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
What is Your Data Worth? Equitable Data Valuation in Machine Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 If data is fuel, then we need to measure its value
- 3 Data value in the context of ML
- 4 Ingredients of Data Value in ML
- 5 Leave One Out Method
- 6 Desirable properties
- 7 Data Shapley Value
- 8 Applications of Data Shapley
- 9 UK Biobank Lung Cancer prediction
- 10 Removing low value data improves prediction
- 11 Adding high value data improves prediction
- 12 Negative Shapley identifies mislabeled data
- 13 Domain adaptation: face recognition
- 14 Dermatology classification
- 15 Clinical notes NLP
- 16 Efficiently approximating data Shapley
- 17 New frontiers of data valuation
- 18 Discussion
