Chip Huyen

Machine learning systems are both complex and unique. They are complex because they consist of many different components and involve various stakeholders. They are unique because they depend on data that can vary significantly from one use case to another. In this book, you will learn a holistic approach to designing machine learning systems that are reliable, scalable, maintainable, and adaptable to changing environments and business requirements. The author, Chip Huyen, co-founder of Claypot AI, examines every design decision—such as how to process and create training data, which features to use, how often to retrain models, and what should be monitored—in the context of how it can help your system as a whole achieve its goals.