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 Build, Train, and Deploy Machine Learning Models with Amazon SageMaker

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missyou123
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Build, Train, and Deploy Machine Learning Models with Amazon SageMaker Empty
MensajeTema: Build, Train, and Deploy Machine Learning Models with Amazon SageMaker   Build, Train, and Deploy Machine Learning Models with Amazon SageMaker EmptyMar Mayo 25, 2021 8:48 am
Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 36c42ff723b77f236e634c9b4125df5b
Jorge Vasquez | Duration: 2h 40m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 432 MB | Language: English + .srt

In this course, you are going to learn the skills you need to build, train, and deploy machine learning models in Amazon SageMaker, including how to create REST APIs to integrate them into your applications for solving real-world problems.

A fully managed machine learning service is a great place to start if you want to quickly get machine learning into your applications. In this course, Build, Train, and Deploy Machine Learning Models with Amazon SageMaker, you will gain the ability to create machine learning models in Amazon SageMaker and to integrate them into your applications. First, you'll learn the basics and how to set up SageMaker. Next, you'll discover how to build, train, and deploy models applied to Image Classification for breast cancer detection and how to integrate them into a REST API. Finally, you will even discover how to manage security and scalability in Amazon SageMaker. When you're finished with this course, you will have a foundational understanding of Amazon SageMaker that will help you immensely as you move forward to create your own machine-learning-enabled applications applied to different real-life scenarios.

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Build, Train, and Deploy Machine Learning Models with Amazon SageMaker C2c03de9f6b4f58ddaf058d8369e8fd7

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