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Run common ML use cases without writing a single line of code using Amazon SageMaker Canvas

March 22, 2022

As an organization facing business problems and dealing with data on a daily basis, the ability to build systems that can predict business outcomes becomes very important. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in your IT systems. As a business user or data analyst, you’d like to build and use prediction systems based on the data that you analyze and process every day, without having to learn about hundreds of algorithms, training parameters, evaluation metrics, and deployment best practices. In this session, learn how to use Amazon SageMaker Canvas to run some common ML use cases like classification and churn prediction; use a visual interface without writing a single piece of code or have any ML expertise.

Speaker: Vatsal Shah, Senior Solutions Architect, AISPL

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