Indigenous Art: Reclaiming Space, Reclaiming Stories Opening Reception

Discovery Building 330 North Orchard Street, Madison, WI, United States

Join us for Native November Art Gallery Opening on Nov 1, 6:30-8 PM at Hub Central. Art, food, and music celebrating Indigenous voices!You're Invited: Native November Art Gallery OpeningJoin us on November 1, 2024, for a groundbreaking celebration at Hub Central, First Floor of the Discovery Building, from 6:30 - …

Reclaiming Space, Reclaiming Stories

Hub Central, Discovery Building

Native November Indigenous Art Gallery Opening. As part of Native November, this gallery opening features 11 student-created art pieces that explore how Indigenous students across UW–Madison have found grounding and purpose through culturally informed art to enhance their mental health practices. By sharing their work, these students are indigenizing space …

AI for Music and the Humanities: Insights and Impacts

Orchard View Room, Discovery Building (Also offered online)

ML+X: Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu URL: https://urldefense.com/v3/__https:/forms.gle/RPM3fNhz98RzVaq3A__;!!Mak6IKo!LxsjxXXtgFEgc_E5u9evQwc7rsRhD9oqC4kpCcw7tYLIoyLWzUZTnRbqyT4I1kUZZRV_Q27gIc5KdNCZLv46nmIZzYvmL3IPA0k_Yw$ ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09

ML+Coffee

Discovery Building 330 North Orchard Street, Madison, WI, United States

Machine Learning Community Event. CONTACT: endemann@wisc.edu

Interactive Data Visualizations in Python

Creating Data Dashboards with Streamlit. This workshop lesson is an introduction to making interactive data visualizations in Python. Learners will create a new environment using conda, wrangle data into the proper format using pandas library, create visualizations using the Plotly Python library, and display these visualizations and create widgets using …

2024 WID Symposium

Discovery Building 330 North Orchard Street, Madison, WI, United States

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 …

Intro to Machine Learning

An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/

Intro to Machine Learning

An introduction to machine learning in python using sklearn URL: https://uw-madison-datascience.github.io/2024-09-25-uwmadison-mini/

Crossroads of Ideas: Growing Without Gravity

Discovery Building 330 North Orchard Street, Madison, WI, United States

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 …

A Fireside Chat with American Family Insurance, Data Science Team

1240 Computer Sciences

AmFam is coming to campus!. AI@UW is hosting an exciting Fireside Chat with 5 guest speakers from American Family Insurance. This event is open to all students interested in data science, AI, and career insights from industry professionals. What: Fireside Chat with AmFam – Explore AI & Data Science Careers …

SoundWaves: Developing Ideas, Part 2

Discovery Building 330 North Orchard Street, Madison, WI, United States

Explore how trends, plans, viewpoints, projects, materials, and sounds develop. Where we are and where we might be headed in the future.How do babies develop language? How are new drugs developed? How did we go from no universe to the universe we know and love? And how does cancer develop …

WID Seminar Series

3rd Floor Orchard View Room, Discovery Building (Also offered online)

Discovering simplicity in complex systems at the intersection of digital and natural worlds. ONLINE: https://uwmadison.zoom.us/j/96326864622

Trustworthy AI

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/

Trustworthy AI

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/