Source: thenewstack.io
Review: Build a ML Model with Amazon SageMaker Canvas
Last month, at its annual re:Invent user conference, https://aws.amazon.com/?utm_content=inline-mentionlaunched a new machine learning service specifically https://thenewstack.io/aws-reinvent-how-real-is-amazons-no-code-low-code-play/. In this post, we will do a hands-on evaluation of Amazon SageMaker Canvas.
For this tutorial, we will use the https://datahub.io/machine-learning/bank-marketing open-source dataset, which is available through a Creative Commons CCO: Public Domain license.
We will now import this dataset into Amazon SageMaker Canvas to create a dataset.
This concludes the tutorial on Amazon SageMaker Canvas — the no-code tool for training ML models.
For this tutorial, we will use the https://datahub.io/machine-learning/bank-marketing open-source dataset, which is available through a Creative Commons CCO: Public Domain license.
We will now import this dataset into Amazon SageMaker Canvas to create a dataset.
This concludes the tutorial on Amazon SageMaker Canvas — the no-code tool for training ML models.
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