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Data Preparation: First, ensure that your data is properly prepared and labeled for training. This might involve collecting product descriptions and their corresponding categories.
Use Amazon SageMaker for Model Training: Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Example:
- Data Labeling: Use SageMaker Ground Truth to label data.
- Model Training: Train the model using SageMaker.
- Model Deployment: Deploy the model using SageMaker.
- Inference: Use the deployed model to classify products.
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thank you. Is it possible to use SageMaker Ground Truth and then SageMaker Canvas to train and deploy a model using the labeled data?