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(as of Jul 04, 2025 15:33:08 UTC – Details)
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 and establish 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 onConceptual frameworks for understanding how ML “loops” workHow effective productionization can make your ML systems easily monitorable, deployable, and operableWhy ML systems make production troubleshooting more difficult, and how to compensate accordinglyHow ML, product, and production teams can communicate effectively
From the brand
Machine Learning, AI & more
Machine Learning
Artificial Intelligence
Deep Learning
Language Processing (NLP, LLM)
Sharing the knowledge of experts
O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O’Reilly Media
Publication date : October 25, 2022
Edition : 1st
Language : English
Print length : 408 pages
ISBN-10 : 1098106229
ISBN-13 : 978-1098106225
Item Weight : 2.31 pounds
Dimensions : 7.25 x 1.25 x 9.5 inches
