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.
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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This book is a fantastic read and covers systems design thinking and best practices behind machine learning rather than just tool-specific procedural knowledge.
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Kenneth Holder –
This book is a fantastic read and covers systems design thinking and best practices behind machine learning rather than just tool-specific procedural knowledge.