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Machine Learning in Production
- From Models to Products
Engelsk Hardback
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Machine Learning in Production
- From Models to Products
Engelsk Hardback

1.005 kr
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Om denne bog
A practical and innovative textbook detailing how to build real-world software products with machine learning components, not just models.


Traditional machine learning texts focus on how to train and evaluate the machine learning model, while MLOps books focus on how to streamline model development and deployment. But neither focus on how to build actual products that deliver value to users. This practical textbook, by contrast, details how to responsibly build products with machine learning components, covering the entire development lifecycle from requirements and design to quality assurance and operations. Machine Learning in Production brings an engineering mindset to the challenge of building systems that are usable, reliable, scalable, and safe within the context of real-world conditions of uncertainty, incomplete information, and resource constraints. Based on the author’s popular class at Carnegie Mellon, this pioneering book integrates foundational knowledge in software engineering and machine learning to provide the holistic view needed to create not only prototype models but production-ready systems.

•   Integrates coverage of cutting-edge research, existing tools, and real-world applications
•   Provides students and professionals with an engineering view for production-ready machine learning systems
•   Proven in the classroom
•   Offers supplemental resources including slides, videos, exams, and further readings
Product detaljer
Sprog:
Engelsk
Sider:
624
ISBN-13:
9780262049726
Indbinding:
Hardback
Udgave:
ISBN-10:
0262049724
Udg. Dato:
8 apr 2025
Længde:
40mm
Bredde:
236mm
Højde:
185mm
Forlag:
MIT Press Ltd
Oplagsdato:
8 apr 2025
Forfatter(e):
Kategori sammenhænge