Discover how Amazon SageMaker can revolutionize your data analytics and model training processes, making AI accessible and efficient for businesses of all sizes. Learn about the latest features, real-world applications, and funding opportunities to kickstart your AI journey. Whether you're a data scientist, ML engineer, or business analyst, this webinar offers valuable insights into leveraging AWS's powerful tools for your AI/ML projects.
Featuring:
Rey Pocius, Data engineer at Metal Toad
Nathan Wilkerson, VP Engineering at Metal Toad
Prachi Kulkarni, Senior Solutions Architect at AWS
Stacy Gordon, Director of AWS Alliance, Global
Metaltoad prides itself on being a reliable AWS service provider as well as providing information like this for free for aspiring software engineers and business owners.
For more information related to Amazon SageMaker as well as Machine learning, check out the link bellow:
www.metaltoad....
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#aws #modelmonitering #sagemaker
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TIMESTAMPS
1:10 - Why Model Monitoring is Critical in Production
2:30 - What is Model Drift?
3:20 - Types of Model Drift (Data, Bias, Feature Attribution)
5:00 - Monitoring Data and Model Quality with SageMaker
6:30 - SageMaker Clarify for Bias Detection and Explainability
8:50 - Best Practices for Monitoring and Retraining Models
10:30 - Monitoring Workflow and Data Capture Explained
12:45 - Violations and Alerts in Model Monitoring
14:30 - Custom Model Metrics Example: Secure Toad Solution
18:00 - Automating Model Monitoring and Training Pipelines
21:45 - Proof of Concept Funding Opportunity
24:00 - Q&A Session: Best Practices, Data Capture, and More
6 окт 2024
