From the course: Amazon Web Services Machine Learning Essential Training

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Train model with SageMaker job

Train model with SageMaker job - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Train model with SageMaker job

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- [Instructor] All right, continuing with our example. Now that we have our data, we're going to train the K-Means model. And it says here since the data is relatively small, it's not really designed to show off the performance of K-Means training algorithm. But Amazon's reminding you, what they've done with these implementations is they have tested and they are telling you that they've got a system that's optimized to scale well with multi-terrabyte data sets. This is really a key reason to look at using the SageMaker Services because of this pre-optimization that Amazon has done. So the next step is setting the training parameters. Then we're going to start the training and pull for status until the training is completed. It's going to take between seven and 11 minutes. So you can see from SageMaker, so they've written an API here, Import K-Means and here's the data location, and there's the output location. And then they're just printing out a statement, the data will be uploaded…

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