Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Van Chip Huyen is an English-language textbook that delves deeply into developing machine learning systems. This book is intended for professionals and students who are looking for a solid process for designing and implementing reliable, scalable learning systems.
The book covers the entire process for machine learning systems, from collecting and processing training data to selecting the right features, regularly updating models, and monitoring performance in production. The author discusses practical case studies and provides an iterative framework to make systems adaptive and maintainable. Topics such as automating model development, setting up monitoring, and building an ML platform are covered in depth.
This title aligns with fields such as Machine Learning, COMPUTERS / Data Science / Machine Learning, and serves as a valuable resource for anyone involved in designing machine learning systems.