Reliable Machine Learning: Applying SRE Principles to ML in Production 1st Edition
by Cathy Chen，Niall Murphy，Kranti Parisa，D. Sculley，Todd Underwood(Author)
Publisher finelybook 出版社: O’Reilly Media; 1st edition (November 1, 2022)
Language 语言: English
Print Length 页数: 408 pages
ISBN-10: 1098106229
ISBN-13: 9781098106225
Book Description
Whether you’re part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run ML reliably, effectively, and accountably within your organization. You’ll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.
By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you’ll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.
You’ll examine:
What ML is: how it functions and what it relies on
Conceptual frameworks for understanding how ML “loops” work
Effective “productionization,” and how it can be made easily monitorable, deployable, and operable
Why ML systems make production troubleshooting more difficult, and how to get around them
How ML, product, and production teams can communicate effectively
