Practicing Trustworthy Machine Learning
Matthew McAteer, Subhabrata Majumdar, Yada Pruksachatkun
O'Reilly Media, 2023
80,95 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9781098120276
- ISBN-10
- 1098120272
- Publisher
- O'Reilly Media
- Year
- 2023
- Publication date
- 2023-01-13
- Pages
- 350
- Dimensions
- 230x180x15
- Weight
- 546