Item Infomation

Full metadata record
DC FieldValueLanguage
dc.contributor.authorChip Huyen-
dc.date.accessioned2023-08-31T09:17:58Z-
dc.date.available2023-08-31T09:17:58Z-
dc.date.issued2022-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/7670-
dc.description.abstractMachine 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 objectivesvi
dc.language.isoenvi
dc.publisherUSA: O'Reilly Mediavi
dc.subjectMachine learning | Application software | Phần mềm ứng dụngvi
dc.titleDesigning machine learning systems : an iterative process for production-ready applicationsvi
dc.typeSách/Bookvi
Appears in Collections1-Trí tuệ nhân tạo

Files in This Item:
Thumbnail
  • TVS.004353_Chip Huyen - Designing Machine Learning Systems_ An Iterative Process for Production-Ready Applications-O_Reilly Media (2022).pdf
      Restricted Access
  • Đăng nhập để đọc nội dung file
    • Size : 16,19 MB

    • Format : Adobe PDF