Practicing Trustworthy Machine Learning

Consistent, Transparent, and Fair AI Pipelines

Author: Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar

Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar (Author)
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9789355422194
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    AuthorYada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar Leadtime to ship in days (default)ships in 1-2 days

    All Indian Reprints of O'Reilly are printed in Grayscale

    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.

    You'll learn:

    • Methods to explain ML models and their outputs to stakeholders
    • How to recognize and fix fairness concerns and privacy leaks in an ML pipeline
    • How to develop ML systems that are robust and secure against malicious attacks
    • Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
    Books
    Author
    Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Lead time to ship in days (if not in stock)
    ships in 12-15 days
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    304
    Publication Date
    11/01/2023
    Publisher
    Shroff/O'Reilly
    Year
    2023
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 0.6 inch

    Table of Contents (9789355422194_toc.pdf, 178 Kb) [Download]

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