sagemaker-distributed-training-workshop and sagemaker-end-to-end-workshop
About sagemaker-distributed-training-workshop
aws-samples/sagemaker-distributed-training-workshop
Hands-on workshop for distributed training and hosting on SageMaker
This workshop helps machine learning engineers and researchers optimize large neural networks for training on AWS. You'll learn how to take your existing model and data, apply distributed training techniques like data and model parallelism, and significantly reduce training time and resource costs. This is for professionals building and deploying AI models at scale.
About sagemaker-end-to-end-workshop
aws-samples/sagemaker-end-to-end-workshop
Hands-on end-to-end workshop to explore Amazon SageMaker.
This workshop helps businesses automate the identification of customers likely to churn. By using historical customer data, it trains a machine learning model to predict which current customers are at risk of leaving. The output is a prediction of customer churn, enabling proactive intervention. It is designed for data scientists and machine learning engineers looking to build and deploy customer churn prediction systems.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work