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 eeering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient 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



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