Designing Machine Learning Systems: An Iterative Process
for Production-Ready Applications – 1st Edition
By Chip Huyen | O'Reilly Media | 2022
Amazon #1 Bestseller in Artificial Intelligence.
Translated into 10+ languages worldwide.
Machine learning systems are both complex and unique.
In this book, you will learn a holistic approach to
designing ML systems that are reliable, scalable,
maintainable, and adaptive to changing environments
and business requirements.
Written by Chip Huyen — Stanford ML instructor,
and former ML engineer at NVIDIA, Netflix
and Snorkel AI.
What You Will Learn:
- How to design end-to-end production ML systems
- How to process and create effective training data
- Feature engineering, model selection and retraining
- Batch processing vs stream processing
- Building ML pipelines for real-world deployment
- Developing monitoring systems for production models
Perfect For:
- ML engineers and data scientists
- Data engineers and ML platform engineers
- Engineering managers and AI professionals
- Anyone building ML systems at scale
