Watch the on-demand workshop
Amazon SageMaker offers fully managed SageMaker Studio notebooks and notebook instances for data exploration and building ML models. Introducing next generation SageMaker notebooks to help ML practitioners scale end-to-end ML development more efficiently. Join this session to learn how to increase productivity with the new notebook capabilities, from simplifying data preparation, to collaborating in real time and automatically converting notebook code to production-ready jobs.
Level: 300
Broadcast Date: January 27, 2023
Learning Objectives
- Generate key data visualizations, identify data quality issues, and apply data transformations to resolve the issues right in the notebook.
- Share, edit, execute the same notebook with your team together in real time.
- Create and automate notebook job in a few clicks.
Who Should Attend?
Data Scientists, Data Engineers, ML Developers, ML Engineers
Speaker(s)
- Mani Khanuja, Sr. AI/ML Specialist SA, AWS and Angela Samples, Sr. Product Marketing Manager, AWS
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/sagemaker/notebooks
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