Practicing trustworthy machine learning :
Pruksachatkun, Yada
Practicing trustworthy machine learning : consistent, transparent, and fair AI pipelines by Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar. - Mumbai : O'Reilly, ©2023 - xxiv, 274 p. : ill, ; 23 cm.
This book includes an index.
1. Privacy 2. Fairness and bias
3. Model explainability and interpretability
4. Robustness
5. Secure and trustworthy data generation
6. More state-of-the-art research questions
7. From theory to practice 8. An ecosystem of trust
A. Synthetic data generation tools
B. Other interpretability and explainability tool kits
9789355422194
Machine learning
Privacy
006.31 / PRU-P
Practicing trustworthy machine learning : consistent, transparent, and fair AI pipelines by Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar. - Mumbai : O'Reilly, ©2023 - xxiv, 274 p. : ill, ; 23 cm.
This book includes an index.
1. Privacy 2. Fairness and bias
3. Model explainability and interpretability
4. Robustness
5. Secure and trustworthy data generation
6. More state-of-the-art research questions
7. From theory to practice 8. An ecosystem of trust
A. Synthetic data generation tools
B. Other interpretability and explainability tool kits
9789355422194
Machine learning
Privacy
006.31 / PRU-P