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Amazon Web Services Machine Learning Essential Training

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Amazon Web Services Machine Learning Essential Training
Amazon Web Services Machine Learning Essential Training
MP4 | Video: 720p | Duration: 3:07:23 | English | Subtitles: VTT | 528.7 MB

Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course, learn about patterns, services, processes, and best practices for designing and implementing machine learning using AWS. Instructor Lynn Langit takes a look at general machine learning concepts, including key machine learning algorithm types. She also examines available service types, such as AWS Machine Learning, Lex, Polly, and Rekognition, which you can use to predict image and video labels. Plus, she steps through how to work with platforms like AWS SageMaker, which includes hosted Jupyter notebooks.

Topics include:

  • How machine learning is used in analytics
  • AWS AI servers vs. platforms
  • Predicting using Polly text-to-speech
  • Predicting using Rekognition for video
  • Using Lex to build a conversational application
  • Using the AWS Machine Learning service to train, host, and predict
  • Working with MXNet in Databricks
  • Working with EMR for machine learning

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  1. Amazon Web Services提供了大量的服务和工具, 帮助数据科学家利用机器学习来制作更好、更智能的解决方案。在本课程中, 了解使用 AWS 设计和实现机器学习的模式、服务、流程和最佳实践。讲师Lynn Langit全面讲解了机器学习的概念, 包括关键机器学习算法类型。她还检查可用的服务类型, 如AWS Machine Learning, Lex, Polly, and Rekognition, 你可以用它们来预测图像和视频标签。此外, 她还将介绍如何使用诸如 AWS SageMaker 这样的平台, 其中包括托管的 Jupyter交互式笔记本。
    sunsource(特殊组-翻译)4个月前 (03-09)