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Greetings from the University of Wisconsin - Madison! Thank you contributors for putting this lesson together! A colleague and I have recently started working on an extended version (8-12 hrs) of this workshop which will include additional case studies and hands-on implementations (e.g., detecting dataset shift and OOD detection, implementing fairness metrics, implementing explainability methods for popular models and data types). I am wondering if the team here might be interested in touching base over a meeting sometime to discuss the strengths and weaknesses of the current lesson plan, and how we can potentially collaborate and complement each other’s lessons. Please fill out this google form to add your email to the list. I can send a meeting poll once we have a quorum.
The text was updated successfully, but these errors were encountered:
@qualiaMachine Thanks for reaching out! It would be great to work with you on this. My preference would be to incorporate your improvements, new material, bug fixes, etc into this repo, and to add you as co-maintainers.
Greetings from the University of Wisconsin - Madison! Thank you contributors for putting this lesson together! A colleague and I have recently started working on an extended version (8-12 hrs) of this workshop which will include additional case studies and hands-on implementations (e.g., detecting dataset shift and OOD detection, implementing fairness metrics, implementing explainability methods for popular models and data types). I am wondering if the team here might be interested in touching base over a meeting sometime to discuss the strengths and weaknesses of the current lesson plan, and how we can potentially collaborate and complement each other’s lessons. Please fill out this google form to add your email to the list. I can send a meeting poll once we have a quorum.
The text was updated successfully, but these errors were encountered: