Showing results for "Design, Learning, and Innovation" in Computers & Technology

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.

Design has become the key link between users and today’s complex and rapidly evolving digital experiences, and designers are starting to be included in strategic conversations about the products and services that enterprises ultimately deliver. This has led to companies building in-house digital/experience design teams at unprecedented rates, but many of them don’t understand how to get the most out of their investment.