Shipping Machine Learning Systems : A Practical Guide to Building, Deploying, and Scaling in Production
Book Details
Format
Paperback / Softback
ISBN-10
100912420X
ISBN-13
9781009124201
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 19th, 2026
Print length
446 Pages
Weight
650 grams
Dimensions
15.10 x 23.00 x 2.70 cms
Ksh 8,400.00
Manufactured on Demand
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This book by industry leaders is ideal for professionals and students seeking a clear, practical understanding of machine learning in real-world settings. Through insightful real-world examples, business case studies, and straightforward practical guidance, readers gain essential skills to implement machine learning effectively in industry.
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 applications and their unique challenges. Multiple pathways through the book allow readers to choose which stage of the ML development process to focus on, as well as the learning strategy ('crawl,' 'walk,' or 'run') that best suits the needs of their project or team.
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