Broadcast Date: March 31, 2022
Level: 200
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. Data Scientists and Developers, join us as we walk through a hands-on demo to show you how to develop an ML model end-to-end using SageMaker.
Learning Objectives
- How to prepare data for machine learning
- How to train and tune models
- How to deploy models to make highly accurate predictions
Who Should Attend?
Data scientists, data engineers, ML developers, ML engineers
Speakers
- Mani Khanuja, Sr AI/ML Specialist SA, AWS
- Emily Webber, ML Specialist SA, AWS
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/sagemaker/data-scientist/
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