About the Webinar
SageMaker is an end-to-end ML framework. We'll review how SageMaker supports data scientists development life-cycle including, integration with Git source control, Notebook life-cycle, SageMaker Search for reviewing past experiments, tracking model lineage, hyper parameters optimization, etc.
During the session we'll use the tools above, and integrate them with an end-to-end ML pipeline.
During the session we'll use the tools above, and integrate them with an end-to-end ML pipeline.
Webinar Speaker: Yuval Fernbach, Specialist Solutions Architect - ML, AWS
Level: Intermediate
Level: Intermediate
Key Information:
Date: June 24, 2019,
Time: 17:00-18:00 (GMT+3)
Language: Hebrew
Time: 17:00-18:00 (GMT+3)
Language: Hebrew
Where: Online webinar
Who Should Attend:
Data Scientists who are interested in expending their knowledge on AWS AI/ML.