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Reliable Machine Learning
book

Reliable Machine Learning

by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood
September 2022
Intermediate to advanced content levelIntermediate to advanced
408 pages
12h 49m
English
O'Reilly Media, Inc.
Book available
Content preview from Reliable Machine Learning

About the Authors

Cathy Chen, CPCC, MA, specializes in coaching tech leaders to enable development of their own skills in leading teams. She has held the role of technical program manager, product manager, and engineering manager. She has led teams in large tech companies and startups launching product features, internal tools, and operating large systems. Cathy has a BS in electrical engineering from UC Berkeley and an MA in organizational psychology from Teachers College at Columbia University. Cathy lives with her partner in Pittsburgh, Pennsylvania, and works at Google in SRE.

Niall Richard Murphy has worked in internet infrastructure since the mid-1990s, specializing in large online services. He has worked with all of the major cloud providers from their Dublin, Ireland offices, and most recently at Microsoft, where he was global head of Azure site reliability engineering (SRE). His first exposure to machine learning came with managing the Ads ML teams in Google’s Dublin office and working with Todd Underwood in Pittsburgh, though it has continued to fascinate him since. He is the instigator, coauthor, and editor of the two Google SRE books, and he is probably one of the few people in the world to hold degrees in computer science, mathematics, and poetry studies. He lives in Dublin with his wife and two children, and works on a startup involving ML in the SRE space.

Kranti Parisa is the vice president and head of product engineering at Dialpad. His teams build large-scale, ...

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Publisher Resources

ISBN: 9781098106218Errata Page