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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
I have a training set consisting of a description and a binary label. From reading previous work, I know that using pretrained fasttext embeddings should work well for my use case. I need to be able to make predictions on unseen words (OOV). My company is already using aws/sagemaker, so using SageMaker Blazing text with subword embedding seems like a good approach.
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