Machine Learning in Production : From Models to Products
Book Details
Format
Hardback or Cased Book
ISBN-10
0262049724
ISBN-13
9780262049726
Publisher
MIT Press Ltd
Imprint
MIT Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Apr 8th, 2025
Print length
624 Pages
Weight
996 grams
Dimensions
18.50 x 23.60 x 4.00 cms
Product Classification:
Information technology: general issues
Ksh 14,400.00
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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 authors 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
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 authors 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
Get Machine Learning in Production by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by MIT Press Ltd and it has pages.
