Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production - Tapa blanda

El-Geish

 
9781009124201: Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production
Tapa blanda
ISBN 10: 100912420X ISBN 13: 9781009124201
Editorial: Cambridge University Press, 2026

Sinopsis

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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Acerca de los autores

Mohamed El-Geish is CTO and Co-Founder of Monta AI. He has built machine learning systems used daily by millions worldwide. He led Amazon's Alexa Speaker Recognition and Cisco's Contact Center AI, co-founded Voicea (acquired by Cisco), contributed to products at LinkedIn and Microsoft, and co-authored 'Computing with Data' (2019).

Shabaz Patel is Associate Director of Applied AI at Best Buy, where he architects scalable ML systems powering search and discovery experiences for millions of users. Previously, at One Concern, he spearheaded innovations in AI-driven climate risk mitigation. Educated at Stanford and IIT, he specializes in scalable MLOps and impactful AI deployments and founded Datmo, an ML startup.

Anand Sampat is Co-Founder and CTO, Overline AI. He is an ML Leader and serial entrepreneur. He previously co-founded Datmo (acquired by One Concern) and led ML Solutions for One Concern, led ML for New Products at PathAI, and led ML at SambaNova Systems.

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Editorial
Cambridge University Press
Año de publicación
2026
Idioma
Inglés
ISBN 10 
100912420X
ISBN 13 
9781009124201
Encuadernación
Tapa blanda
Número de páginas
446
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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