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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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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.
Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.
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-
£32.36
£14.00 - £35.95 -
£4.50
£8.00 - £8.99 -
£33.77
£18.00 - £40.20 -
£37.98
£18.00 - £43.65 -
£13.61
£7.00 - £15.64 -
£14.71
£11.00 - £18.39
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