Chen, Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production
- ISBN 13:
- 9781098106225
- author:
- Chen, Cathy
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2022
- Pages:
- 350
- Dimensions:
- 23.1 x 17.5 x 2.5 centimetres (0
- Genre:
- Computers, Server & Database, General Database,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Learn to run machine learning reliably and effectively within your organization with this practical guide. By applying an SRE mindset to machine learning, you'll gain insight into model monitoring in production, well-tuned model development teams, and efficient ML system management.
Discover how to apply conceptual frameworks for understanding ML "loops" and overcome challenges such as production troubleshooting. You'll also learn how to communicate effectively between ML, product, and production teams.
This book covers the essential concepts and principles of reliable machine learning, making it an invaluable resource for data scientists, software engineers, product managers, and business owners looking to establish a robust ML system within their organization.
Related Products
Related Products
Site Reliability Engineering (SRE) Handbook: How SRE implements DevOps
Fleming, Stephen
Machine Learning: An Applied Mathematics Introduction
The Site Reliability Workbook: Practical Ways to Implement SRE
Beyer, Betsy
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Bengfort, Benjamin
Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
Crowe, Robert