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Designing machine learning systems : an iterative process for production-ready applicationsHuyen, Chip = Хујен, Чип"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with ... data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.comType of material - bookEdition - 1st ed.Publication and manufacture - Sebastopol (CA) : O'Reilly Media, Inc., 2022Language - englishISBN - 978-1-098-10796-3COBISS.SR-ID - 145095945
Author
Huyen, Chip = Хујен, Чип
Topics
Machine learning |
Application software |
Design |
Aplikativni softver |
Dizajn |
Mašinsko učenje
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Library/institution |
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Faculty of Economics, Belgrade | Beograd 6 - Savski venac | EFBG |
restricted loan – outside loan 1 cop.
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Huyen, Chip = Хујен, Чип | ![]() |
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