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 holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications 1st Edition
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O’Reilly Media New 978-1098107963 Chip Huyen Paperback
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Additional information
| Format | Paperback |
|---|---|
| Edition | 1st |
| Pages | 386 pages |
| Item Weight | 1.36 pounds |
| Dimensions | 7 x 0.8 x 9.19 inches |
| ISBN-10 | 1098107969 |
| ISBN-13 | 978-1098107963 |
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