Practicing Trustworthy Machine Learning (Second Early Release)

✍ Scribed by Yada Pruksachatkun, Matthew McAteer, Subhabrata Majumdar

Year: 2023
Tongue: English
Leaves: 313
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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<p><span>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 d