rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Machine Learning Fundamentals with Amazon SageMaker on AWS
  name:
    name part: Bilgin, Asli
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  origin info:
    place:
      place term: xx
    date issued: 2019
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file, approximately 5 hr., 42 min.)
  abstract: 5+ Hours of Video Instruction Machine Learning Fundamentals with Amazon SageMaker on AWS LiveLessons teaches the fundamental concepts and taxonomy for machine learning and provides a high-level overview of the tools, languages, and libraries that Amazon SageMaker uses, including the AWS console, Jupyter Notebooks, languages, and interactive data analysis libraries. Overview Machine Learning Fundamentals with Amazon SageMaker on AWS LiveLessons teaches the fundamental concepts and taxonomy for machine learning. It provides specific scenarios, so the user can determine if ML would be beneficial. The course also provides a high-level overview of the tools, languages, and libraries that Amazon SageMaker uses, including the AWS console, Jupyter Notebooks, languages such as Python, and interactive data analysis libraries such as Pandas. This course will also discusses common algorithms and models used with ML and Amazon SageMaker, which will help determine the appropriate model to use in specific business scenarios. Through this course the user will walk through Amazon SageMaker's end-to-end workflow using practical and pragmatic business scenarios. You'll see how you can benefit from the ability of a machine to make predictions on future data through hands-on labs and key concepts. AWS is continuing to make great strides to innovate their Artificial Intelligence and Machine Learning Platform. The concepts learned in this course will provide you with the foundation to build your own innovative systems on this dynamic platform. Topics include: Module 1: What is Amazon SageMaker? Module 2: Fundamentals Machine Learning Concepts with Practical Applications Module 3: Amazon SageMaker Supporting Tools and Technologies Module 4: Data and Model Management with Amazon SageMaker Module 5: Predictions and Deployment with Amazon SageMaker About the Instructor Asli Bilgin is an award-winning, cloud computing executive who has more than two decades of experience working for companies …
  note: Bilgin, Asli.
  note: Videorecording.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2020.
  note: Mode of access: World Wide Web.
  identifier: 0135945135
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 240919
    record change date: 20260129230749.7
    record identifier: in00004254152