Shipping Machine Learning Systems

Shipping Machine Learning Systems

A Practical Guide to Building, Deploying, and Scaling in Production

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Erscheint vorauss. 31. Dezember 2025
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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 their experience at several major corporations and startups, the authors focus on real-world scenarios, guiding practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. They highlight common pitfalls and offer interview-based case studies from companies that illustrate diverse industrial applicatio...