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Authoring custom transformations in Amazon SageMaker Data Wrangler using NLTK and SciPy

AWS Machine Learning Blog

We will also share some example custom code transform using other common frameworks such as NLTK, NumPy, SciPy, and scikit-learn as well as AWS AI Services. You can also choose to onboard using AWS IAM Identity Center (successor to AWS Single Sign-On) for authentication (see Onboard to Amazon SageMaker Domain Using IAM Identity Center ).

AWS 101
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How HR Tech Company Sense Scaled their ML Operations using Iguazio

Iguazio

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. Cost-effectiveness: Sense was able to find the ideal AWS cost and resource allocation balance. For example, Python can be used to schedule how they want to run their jobs.

ML 52
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How Sense Uses Iguazio as a Key Component of Their ML Stack

Iguazio

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. Cost-effectiveness: Sense was able to find the perfect AWS cost and resource allocation balance. For example, Python can be used to schedule how they want to run their jobs.

ML 52