Practicing Trustworthy Machine Learning. Consistent, Transparent, and Fair AI Pipelines, Paperback

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.

• Publisher: O'Reilly Media
• Author(s): Subhabrata Majumdar
• Number of pages: 350
• Publication date: 2023
• Dimensions: 230 x 180 x 15
• Cover type: Paperback / softback