Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI PipelinesEnglish | 2023 | ISBN: 1098120272 | 350 Pages | MOBI EPUB (True) | 17 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.
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