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Few subjects are more fundamental to modern life than electrical power. The systems that generate, transport, and distribute electricity are among the most essential contributors to modern industry, development, and everyday living. As energy demand grows and, with it, the electric power industry, more and more non-electrical professionals must make important policy and administrative decisions regarding the systems that power our world.

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. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.