Free Workshop on AI Quality, Back By Popular Demand
AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University. Register today as space is limited!
Are you a data scientist or machine learning engineer interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this live online course is for you!
AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University.
Each class covers the essentials of a key topic for managing machine learning models, including:
- ML Explainability
- Accuracy and Performance Debugging
- Model Drift
- Fairness
This offer is exclusively for corporate and government practitioners. All students completing the course receive a certificate, limited edition shirt, and access to the Slack community.
When: June 16th, 23rd and 30th, 9:00am-11:00 PT
Where: Zoom meeting with breakout rooms
Who: Data scientists, machine learning engineers, data analysts, quantitative analysts, statisticians, data and analytics managers
Register today as space is limited!
