Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
by Chip Huyen
Chip Huyen’s Designing Machine Learning Systems explores the iterative process behind production-ready machine learning applications. Combining machine learning with software engineering and system design, it offers a practical foundation for readers who want to understand how machine learning systems are developed and implemented in real-world settings.
About This Book
Designing Machine Learning Systems presents an iterative approach to creating production-ready machine learning applications.
Written by Chip Huyen, the book focuses on the systems and processes involved in developing machine learning solutions.
It is suited to readers seeking a practical perspective on moving from machine learning concepts toward dependable applications.
The book’s subject matter connects machine learning with software engineering, system design, and real-world implementation.
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