Amazon SageMaker Canvas now supports natural language instructions for data preparation
Amazon SageMaker Canvas now supports natural language instructions for data exploration, visualization, and preparation to build machine learning (ML) models. Amazon SageMaker Canvas is a no-code tool that enables customers to easily create highly accurate ML models without writing a line of code. Starting today, you can use FM-powered natural language instructions enabled by Amazon Bedrock for data preparation. This new capability enables you to interact with your data, ask questions, visualize feature distribution and correlations, and transform data to the right structure for your business problems, using natural language queries.
Amazon SageMaker Canvas now supports natural language instructions for data exploration, visualization, and preparation to build machine learning (ML) models. Amazon SageMaker Canvas is a no-code tool that enables customers to easily create highly accurate ML models without writing a line of code. Starting today, you can use FM-powered natural language instructions enabled by Amazon Bedrock for data preparation. This new capability enables you to interact with your data, ask questions, visualize feature distribution and correlations, and transform data to the right structure for your business problems, using natural language queries.
You can now get started quickly with guided prompts and ask ad-hoc questions to understand the features in your data, identify outliers, and visualize features. For example, you can ask questions such as “Sort the price column in descending order” or “Remove outliers in store revenue.” You can preview the results and apply the transforms before building ML models using the transformed data.
The new natural language instructions is available in all AWS regions where Amazon SageMaker Canvas and Amazon Bedrock are both available. To learn more, see the blog post and the technical documentation.