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

LeeAndro

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Build, Train, and Deploy Machine Learning Models with Amazon SageMaker
Jorge Vasquez | Duration: 2h 40m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 432 MB | Language: English + .srt

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 SageMaker, you will gain the ability to create machine learning models in 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 SageMaker. When you're finished with this course, you will have a foundational understanding of 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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