Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair AI Pipelines

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.

• | : Yada Pruksachatkun, Matthew McAteer, Subhabrata Majumdar
• | Publisher: O'Reilly Media
• | Publication Date: Jan 13, 2023
• | Country of Publication: United States
• | Number of Pages: 350 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 1098120272
• | ISBN-13: 9781098120276