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Shipping Machine Learning Systems

Shipping Machine Learning Systems

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

Hira Dangol, Mohamed El-Geish, Shabaz Patel, Anand Sampat

Cambridge University Press
Publication date : 2026-01-31

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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 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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About the book

Author

Hira Dangol , Mohamed El-Geish , Shabaz Patel , Anand Sampat

Imprint

Cambridge University Press

Collection

n.c

Publication date

2026-01-31

Pages

n.c

Print ISBN

9781009124201

Language

English

Ebook informations

EAN PDF

9781009761482

Price

£47.47

Copy count 0

Print count 0

File size 7936 Ko

Informations accessibility

EAN EPUB

9781009761475

Price

£47.47

Copy count 0

Print count 0

File size 4936 Ko

Informations accessibility

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About author(s)

Hira Dangol

Mohamed El-Geish

Shabaz Patel

Anand Sampat

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