Showing results for "Design Automation of Cyber-Physical Systems" in All Categories

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.

Cyberspace is the 21st century’s greatest engine of change. Telecommunications, commercial and financial systems, government operations, food production - virtually every aspect of global civilization now depends on interconnected cyber systems to operate; systems that have helped advance medicine, streamline everyday commerce, and so much more.