Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production
We wrote this book to bridge the gap between theoretical Machine Learning (ML) and its practical application in industry. It serves as a handbook for...
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We wrote this book to bridge the gap between theoretical Machine Learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often overlooked in academic texts. Focusing on real-world scenarios, it guides practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. It highlights common pitfalls and brings case studies from companies that illustrate diverse industrial applications and their unique challenges. Navigate the book based on the most relevant stage of the ML development process and the crawl, walk, or run stage that best matches your project and team.
- Format:
- Pages:451 pages
- Publication:2025
- Publisher:
- Edition:
- Language:eng
- ISBN10:100912420X
- ISBN13:9781009124201
- kindle Asin:B0G693FDMN
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