Home
Sign in
Listen in app
114. Unit 3. Key Concepts: Multi-Dimensional Fairness Metrics and Small Sample Challenges in Intersectional Assessment
Turing College
Likes
Reposts
In albums
In playlists
Related
Conceptual Foundation and Relevance
Turing College
127
2:21
6mo
114. Unit 3. Key Concepts: Domain Modeling Perspective, Conceptual Clarification and Intersectionality Consideration
Turing College
30
4:42
7mo
114. Unit 3. Key Concepts: Multi-Dimensional Fairness Metrics and Small Sample Challenges in Intersectional Assessment
Turing College
7
4:40
7mo
114. Unit 3. Key Concepts: Intersectionality Theory and Its Applications to AI and The Simpson's Paradox in Fairness Metrics
Turing College
6
3:47
7mo
114. Unit 3: Conceptual Foundation and Relevance
Turing College
7
2:19
7mo
114. Unit 2: Summary and Next Steps
Turing College
7
2:47
7mo
114. Unit 2: Project Component Development
Turing College
4
2:43
7mo
114. Unit 2. Case Study: Solution Implementation. Outcomes and Lessons
Turing College
6
4:22
7mo
114. Unit 2. Case Study: Scenario Context and Problem Analysis
Turing College
9
3:10
7mo
114. Unit 2. Practical Considerations: Implementation Challenges and Evaluation Approach
Turing College
6
3:14
7mo
Showing all tracks 🏁
Home
Home
Feed
Feed
Search
Search
Library
Library
Download
Download