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X-WR-CALNAME:Wisconsin Institute for Discovery
X-ORIGINAL-URL:https://wid.wisc.edu
X-WR-CALDESC:Events for Wisconsin Institute for Discovery
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TZID:America/Chicago
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DTSTART:20240310T080000
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DTSTART:20241103T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241202T090000
DTEND;TZID=America/Chicago:20241202T130000
DTSTAMP:20260408T085321
CREATED:20241104T232111Z
LAST-MODIFIED:20241202T202110Z
UID:10000694-1733130000-1733144400@wid.wisc.edu
SUMMARY:Trustworthy AI
DESCRIPTION:https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/\n\n\nThis lesson equips participants with trustworthy AI/ML practices\, emphasizing fairness\, explainability\, reproducibility\, accountability\, and safety across three general data/model modalities: structured data (tabular)\, natural language processing (NLP)\, and computer vision. Participants will learn to evaluate and enhance the trustworthiness and reliability of models in each modality. Additionally\, they will explore how to integrate these principles into future models\, bridging ethical practices with practical applications in their research. \nThis is a pilot workshop\, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could be further improved. \nWho: The course is aimed at graduate students and other researchers at UW Madison. Participants must have experience using Python and a basic understanding of machine learning (e.g.\, familiar with the concepts like train/test split and cross-validation) and should have trained at least one model in the past. Prior experience training neural networks is recommended to get the most out of this workshop. \nWhere: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting. \nWhen: Dec 2-4\, 2024; 9:00 a.m. – 1:00 p.m. Add to your Google Calendar.
URL:https://wid.wisc.edu/event/trustworthy-ai-4/
LOCATION:WI
CATEGORIES:Data Science Hub
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241203T090000
DTEND;TZID=America/Chicago:20241203T130000
DTSTAMP:20260408T085321
CREATED:20241102T162110Z
LAST-MODIFIED:20241203T152857Z
UID:10000692-1733216400-1733230800@wid.wisc.edu
SUMMARY:Trustworthy AI
DESCRIPTION:Learn Responsible Machine Learning Practices.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
URL:https://wid.wisc.edu/event/trustworthy-ai-2/
LOCATION:WI
CATEGORIES:Data Science Hub
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241204T090000
DTEND;TZID=America/Chicago:20241204T130000
DTSTAMP:20260408T085321
CREATED:20241102T162110Z
LAST-MODIFIED:20241204T172109Z
UID:10000693-1733302800-1733317200@wid.wisc.edu
SUMMARY:Trustworthy AI
DESCRIPTION:Learn Responsible Machine Learning Practices.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
URL:https://wid.wisc.edu/event/trustworthy-ai-3/
LOCATION:WI
CATEGORIES:Data Science Hub
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241210T120000
DTEND;TZID=America/Chicago:20241210T130000
DTSTAMP:20260408T085321
CREATED:20240827T152110Z
LAST-MODIFIED:20241210T172109Z
UID:10000661-1733832000-1733835600@wid.wisc.edu
SUMMARY:ML+X Forum: Applied Machine Learning
DESCRIPTION:Machine Learning Beyond Traditional CS Fields.\nCONTACT: endemann@wisc.edu\nONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09
URL:https://wid.wisc.edu/event/mlx-forum-applied-machine-learning-4/
LOCATION:Orchard View Room\, Discovery Building  (Also offered online)
CATEGORIES:Data Science Hub
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241211T090000
DTEND;TZID=America/Chicago:20241211T110000
DTSTAMP:20260408T085321
CREATED:20240903T162110Z
LAST-MODIFIED:20241210T172109Z
UID:10000671-1733907600-1733914800@wid.wisc.edu
SUMMARY:ML+Coffee
DESCRIPTION:Machine Learning Community Event.\nCONTACT: endemann@wisc.edu
URL:https://wid.wisc.edu/event/mlcoffee-4/
LOCATION:Discovery Building\, 330 North Orchard Street\, De Luca Forum\, Madison\, WI\, 53715\, United States
CATEGORIES:Data Science Hub
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