TY  - GEN
AU  - Pruksachatkun, Yada
AU  - Mcateer,Matthew 
AU  - Majumdar, Subhabrata  
TI  - Practicing Trustworthy Machine Learning
SN  - 9789355422194
U1  - 006.31 PRU 
PY  - 2023///
CY  - Mumbai
PB  - Shroff Publishers & Distributors Pvt. Ltd.
KW  - Machine Learning
N2  - 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.

Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world
ER  -