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Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair A...

Description: Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair Ai Pipelines, Paperback by Pruksachatkun, Yada; Mcateer, Matthew; Majumdar, Subho, ISBN 1098120272, ISBN-13 9781098120276, Brand New, Free shipping in the US 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 stakeholdersHow to recognize and fix fairness concerns and privacy leaks in an ML pipelineHow to develop ML systems that are robust and secure against malicious attacksImportant systemic considerations, like how to manage trust debt and which ML obstacles require human intervention

Price: 59.34 USD

Location: Jessup, Maryland

End Time: 2025-01-15T11:32:14.000Z

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Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair A...

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Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

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Book Title: Practicing Trustworthy Machine Learning : Consistent, Transparent

Number of Pages: 300 Pages

Publication Name: Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair Ai Pipelines

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Item Height: 0.6 in

Subject: Data Modeling & Design, Business Ethics, General

Item Weight: 18.8 Oz

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers, Science, Business & Economics

Author: Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar

Item Width: 7 in

Format: Trade Paperback

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