Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen. This practical guide provides a framework for building, deploying, and maintaining robust ML systems. Learn to iteratively improve your machine learning pipelines, covering data engineering, model deployment, monitoring, and responsible AI. Ideal for machine learning engineers and data scientists seeking to design scalable, reliable, and ethical ML systems. Transform your ML projects with valuable insights and best practices.