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Effective Amazon Machine Learning by Alexis Perrier

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Loading data on S3

AWS S3 is one of the main AWS services dedicated to hosting files and managing their access. Files in S3 can be public and open to the Internet or have access restricted to specific users, roles, or services. S3 is also used extensively by AWS for operations such as storing log files or results (predictions, scripts, queries, and so on).

Files in S3 are organized around the notion of buckets. Buckets are placeholders with unique names similar to domain names for websites. A file in S3 will have a unique locator URI: s3://bucket_name/{path_of_folders}/filename. The bucket name is unique across S3.  In this section, we will create a bucket for our data, upload the titanic training file, and open its access to Amazon ML.

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