Designing machine learning systems : an iterative process for production-ready applications /
"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holisti...
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| Format: | Book |
| Language: | English |
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Navi Mumbai : Sebastopol, CA :
Shroff Publishers and Distributors ; O'Reilly Media,
c2022 [reprinted 2025].
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| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- Overview of machine learning systems
- Introduction to machine learning systems design
- Data engineering fundamentals
- Training data
- Feature Engineering
- Model development and offline evaluation
- Model develoypment and prediction service
- Data distribution shifts and monitoring
- Continual learning and test in production
- Infrastructure and tooling for MLOps
- The human side of machine learning