Annual Symposium for Wisconsin Institute for Discovery resident working groups and affiliates. Portions open to the public.The WID 2024 Symposium, scheduled for November 13th at the Discovery Building, is a day-long event dedicated to the exploration of change in complex systems in digital and natural environments. This gathering serves as …
An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/
An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/
Can plants thrive amid the zero-gravity chaos of space? Could the stars themselves hold the recipe for life? Join Crossroads to find out!Ready to leave Earthly bounds behind? Join us for an absolutely out-of-this-world Crossroads of Ideas, where astrobiology and astrochemistry come together in cosmic fashion! Plant biologist Dr. Simon …
Explore how trends, plans, viewpoints, projects, materials, and sounds develop. Where we are and where we might be headed in the future.This year, SoundWaves is exploring how ideas, trends, plans, viewpoints, projects, materials, and sounds develop. Join us for a new four-part series as we dive into how we got …
Discovering simplicity in complex systems at the intersection of digital and natural worlds. ONLINE: https://uwmadison.zoom.us/j/96326864622
Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
Science in Sight: Inspiring Trust Through Public ArtWe value inclusion and access for all participants. If you would like to request reasonable accommodations to enhance your participation experience, please email idhub@wid.wisc.edu no later than 2 weeks prior to the event. This event is wheelchair accessible.
Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/
Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09
Machine Learning Community Event. CONTACT: endemann@wisc.edu
Discovering simplicity in complex systems at the intersection of digital and natural worlds. ONLINE: https://uwmadison.zoom.us/j/96326864622
Learn Skills for Research Software Engineering. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants …
