Practicing trustworthy machine learning: consistent, transparent, and fair ai pipelines
Auteur :
Pruksachatkun, Yada / McAteer, Matthew / Majumdar, Subhabrata
Éditeur :
O'Reilly Media
ISBN :
9781098120276
Date de publication :
13 janv. 2023
Dimensions :
23,2 x 17,8 cm
Langue :
Anglais
Pays d'origine :
USA
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.