discusses how to build systems that can retrain and update themselves without manual intervention, and explores techniques like shadow deployment, canary deployment, and A/B testing.
ML is a continuous improvement process, not a linear, one-and-done task. Designing Machine Learning Systems By Chip Huyen Pdf
Real-world data is heavily skewed (e.g., fraud detection where 99.9% of transactions are legitimate). discusses how to build systems that can retrain
Since its publication, the book has garnered widespread acclaim and has been an Amazon #1 bestseller in AI, translated into over ten languages. Reviews consistently highlight its practical value and comprehensive approach. Since its publication, the book has garnered widespread
Whether you are an aspiring MLOps engineer, a data scientist, or a software architect, this comprehensive guide provides a holistic blueprint for developing ML systems. Why "Designing Machine Learning Systems" Stands Out
: The relationship between features and targets changes over time ( Resolution Strategies
provides a high-level overview of the ecosystem of tools that support modern ML platforms—from data versioning to pipeline orchestration and model registries.