Devoxx Ukraine 2020. Getting started with Machine Learning on AWS. Julien Simon
The talk from Devoxx Ukraine 2020 ONLINE
Fb: www.facebook.com/DevoxxUkraine/
Website: www.devoxx.com.ua
Over the years, cloud computing has proven to be the most agile, scalable and cost-effective option to build and run IT applications. Of course, these benefits can also apply to Machine Learning (ML). In this hands-on session, we'll start with a quick introduction to the different layers of the AWS ML stack. Then, we'll dive into the different solutions that you can use to build, train and deploy your ML applications, using either Amazon EC2 instances, container services, Amazon SageMaker, and high level services like Amazon Forecast and Amazon Personalize. Services will be demoed using the AWS console and AWS SDKs. Along the way, we'll also compare them from a skill, technical, operational and cost perspective. In order to fully enjoy this session, you should have a basic understanding of core AWS concepts (EC2, S3, IAM, etc.). We'll use simple ML examples, so no deep ML knowledge is required.
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