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Effective Amazon Machine Learning by Alexis Perrier

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Creating the datasource

When working with Amazon ML, the data always resides in S3 and it is not duplicated in Amazon ML. A datasource is the metadata that indicates the location of the input data allowing Amazon ML to access it. Creating a datasource also generates descriptive statistics related to the data and a schema with information on the nature of the variables. Basically, the datasource gives Amazon ML all the information it requires to be able to train a model. The following are the steps you need to follow to create a datasource:

  1. Go to Amazon Machine Learning: https://console.aws.amazon.com/machinelearning/home.
  2. Click on getting started, you will be given a choice between accessing the Dashboard and Standard setup. This time choose ...

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