Experiments, Model Training & Evaluation: Exploring 6 Key MLOps Questions using AWS SageMaker

This article is part of the AWS SageMaker series for exploration of ’31 Questions that Shape Fortune 500 ML Strategy’.

What?

The previous blog posts, “Data Acquisition & Exploration” and “Data Transformation and Feature Engineering”, explored how AWS SageMaker’s capabilities can help data scientists collaborate and accelerate data exploration, understanding, transformation, and feature engineering.

This blog post will focus on key questions related to Experiments, Model Training, and evaluation and explore how AWS SageMaker can help …

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