Practicing Trustworthy Machine Learning (Early Release)
English | ISBN: 9781098120269 | 73 pages | November 2022 | EPUB | 2.23 MB
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. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.