Shipping Machine Learning Systems
Shipping Machine Learning SystemsA Practical Guide to Building, Deploying, and Scaling in Production
Author(s): Mohamed El-Geish, Shabaz Patel, Anand Sampat, Hira Dangol
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009124201, 978-1009124201
Synopsis
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 boo.
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Shipping Machine Learning Systems
Shipping Machine Learning SystemsA Practical Guide to Building, Deploying, and Scaling in Production
Author(s): Mohamed El-Geish, Shabaz Patel, Anand Sampat, Hira Dangol
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009124201, 978-1009124201
Synopsis
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 boo.
Price now:
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ÂŁ22.42
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Product Description
Shipping Machine Learning SystemsA Practical Guide to Building, Deploying, and Scaling in Production
Author(s): Mohamed El-Geish, Shabaz Patel, Anand Sampat, Hira Dangol
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009124201, 978-1009124201
Synopsis
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 boo.
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
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