AWS brings no-code to Amazon SageMaker machine learning
Amazon Web Services has announced limited general availability of Amazon SageMaker Canvas, a visual, no-code tool for creating machine learning models aimed at business analysts.Built as a new capability for the Amazon SageMaker machine learning service, SageMaker Canvas provides a visual interface that accesses data from disparate sources and prepares the data for training machine learning (ML) models. A point-and-click interface enables generation of accurate ML predictions, without requiring ML experience or writing any code. SageMaker Canvas is integrated with with Amazon SageMaker Studio.To read this article in full, please click here
Amazon Web Services has announced limited general availability of Amazon SageMaker Canvas, a visual, no-code tool for creating machine learning models aimed at business analysts.
Built as a new capability for the Amazon SageMaker machine learning service, SageMaker Canvas provides a visual interface that accesses data from disparate sources and prepares the data for training machine learning (ML) models. A point-and-click interface enables generation of accurate ML predictions, without requiring ML experience or writing any code. SageMaker Canvas is integrated with with Amazon SageMaker Studio.
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