Introducing SageMaker Canvas
SageMaker Canvas is a no-code ML service that allows business analysts to create accurate ML models using a point-and-click interface. It supports the creation of regression, classification, and forecasting models that utilize tabular datasets in comma-delimited CSV format. The service runs from an internet browser and provides intuitive screens to perform various steps in building an ML model:
- Importing and joining data: SageMaker Canvas allows users to import data from a variety of sources on AWS such as Amazon S3 and Amazon Redshift. It also supports connecting and importing data from Snowflake. This provides a seamless way for users to start building their models on data stored in AWS or outside of AWS. In addition, the service also allows you to import data from your local computer. Once the dataset is imported into the service, you can view a sample of it and also join it with other imported datasets using a visual interface. Once you have...
