Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production
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This book bridges 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. Drawing on t
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