Reliable machine learning : applying SRE principles to ML in production / Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley & Todd Underwood ; foreword by Sam Charrington.
Material type: TextPublisher: Beijing Sebastopol, CA : O'Reilly, 2022Description: xxix, 376 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9781098106225 (paperback)
- 006.31
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | Books | 006.31 CHE-R 63302 (Browse shelf(Opens below)) | Available | 10001000063302 |
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006.309 ART 63265 Artificial intelligence for science : a deep learning revolution / | 006.31 ABA-M 63317 Machine learning for cyber agents : attack and defence / | 006.31 BAL-D 63279 Deep learning in science / | 006.31 CHE-R 63302 Reliable machine learning : applying SRE principles to ML in production / | 006.31 DRO-S 63310 The science of deep learning / | 006.31 FOR-D 63210 Data Smart : using data science to transform information into insight / | 006.31 FOS-G 63287 Generative deep learning : teaching machines to paint, write, compose, and play / |
Includes bibliographical references and index.
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.
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