From the course: Amazon Web Services Machine Learning Essential Training

Welcome - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Welcome

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- [Langit] Hi, welcome to Amazon Web Services for Machine Learning. I'm Lynn Langit. In this course we're going to start by looking at machine learning itself. We're going to take a look at concepts such as algorithms and methods of processing. We'll then look at patterns and also service types that are available on the Amazon platform. Speaking of service types, we're going to start by looking at the newest services, and these are API services, you can even think of them as serverless services, services like recognition, Polly, and Lex. There's really a lot of new ones that have come out recently and we're going to cover them all. Then we're going to look at platforms like AWS SageMaker, which allows you to setup Jupyter notebooks as a service and to use Docker containers to optimize your model training. In addition to that we're going to look at using machine learning using Amazon hosted virtual servers. We'll look at the machine learning optimized AMI, and we'll also look at some of the deep neural networks such as MXNet, and the newer, higher level languages to make working with these complex techniques more usable such as gluon and other languages. We have a lot to cover, so let's get started.

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