Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
by Chip Huyen
Learn how to design, build, and maintain production-ready machine learning systems using an iterative approach for real-world applications.
About This Book
Designing Machine Learning Systems provides guidance on creating machine learning applications that are ready for production environments.
The book emphasizes an iterative process to address the challenges of deploying machine learning models at scale.
Readers learn about the full lifecycle of machine learning projects from initial design through ongoing maintenance.
Topics include system architecture, monitoring, and best practices for reliable machine learning operations.
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