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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.

A concise introduction to all the key tenets of electrical and mechanical engineering degree course, written by former NASA engineer Dr. David Baker. Listeners will quickly get to grips with the fundamentals of electrical and mechanical engineering and their practical applications. Covering Newtonian mechanics, nuclear engineering, artificial intelligence, 3D printing, and more, this essential guide brings clarity to complex ideas. David Baker delves into the history and development of this far-reaching subject, as well as the challenges of the future.