Are you interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this 4-week, live online course is for you.
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 4-week, 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 90 minute class covers the essentials of a key topic for managing machine learning models, including:
- ML Explainability
- Accuracy and Performance Debugging
- Model Drift
- Fairness
Apply for your spot today as space is limited! Course starts Feb 23rd, 2022.
