Description
| Product ID: | 9781098120276 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Practicing Trustworthy Machine Learning |
| Subtitle: | Consistent, Transparent, and Fair AI Pipelines |
| Authors: | Author: Matthew McAteer, Yada Pruksachatkun, Subhabrata Majumdar |
| Page Count: | 350 |
| Subjects: | Machine learning, Machine learning |
| Description: | Select Guide Rating 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. |
| Imprint Name: | O'Reilly Media |
| Publisher Name: | O'Reilly Media |
| Country of Publication: | GB |
| Publishing Date: | 2023-01-13 |
