Intro to Machine Learning Mini-Workshop
An introduction to machine learning. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2023-09-13-uwmadison-mini/
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Indigenous Language Table
Room 1145, Discovery Building 333 N. Randall Avenue, Madison, WI, United StatesSILO-Fall 2023
Researchers' Link, Discovery BuildingErnest Ryu. This semester we will be holding hybrid seminars, with both in-person and virtual (Zoom) participation. Pizza will be served for the in-person attendees. URL: https://silo.wisc.edu/
Indigenous Language Table
Discovery Building 330 North Orchard Street, Madison, WI, United StatesOpen Language Table for Indigenous Languages. Most Wednesdays on the first floor of the Discovery Building and hosted by the Wisconsin Institute for Discovery ID Hub in Room 1145. A Indigenous Language Table is designed to enable language learners to develop spoken language skills outside of the classroom setting, build …
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Intro to Machine Learning Mini-Workshop
An introduction to machine learning. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2023-09-13-uwmadison-mini/
Coding Meetup
1153/54, Discovery Building (Also offered online)Coding Support for Researchers. Researchers are encouraged to come to Coding Meetup to ask questions about new computational tools, how to apply coding tools in research, how to troubleshoot coding bugs, or anything else related to data or code. CONTACT: facilitator@datascience.wisc.edu URL: https://datascience.wisc.edu/hub/#dropin ONLINE: https://datascience.wisc.edu/hub/#dropin
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
EVIL Reading Group
(Online)The Ethics, Values, Information, and Law (EVIL) reading group pursues scholarship in the intersections of ethics, law, and data and information technologies. The EVIL Reading group meets every three weeks (roughly), Fridays, online, and is hosted in collaboration with the iSchool and ML+X. CONTACT: facilitator@datascience.wisc.edu URL: https://go.wisc.edu/7319a8 ONLINE: https://go.wisc.edu/7319a8
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.
Coding Meetup
1153/54, Discovery Building (Also offered online)Coding Support for Researchers. Researchers are encouraged to come to Coding Meetup to ask questions about new computational tools, how to apply coding tools in research, how to troubleshoot coding bugs, or anything else related to data or code. CONTACT: facilitator@datascience.wisc.edu URL: https://datascience.wisc.edu/hub/#dropin ONLINE: https://datascience.wisc.edu/hub/#dropin
Technical to Beautiful: Data as Art
Image Lab, Discovery BuildingExamining the perception of data from an artistic lens. Works that elicit aesthetic or emotional responses through beautiful representations of data, or encourage reflection on the role of data in science, society and our daily lives.