We are pleased to invite you to the 6th Annual Rutgers Robotics Workshop. Event Details Date: Friday, October 23, 2026 Time: 9:00 AM – 3:30 PM Location: Civic Square Building, […]
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Events
10 events found.
Events
Join us for an introduction to the online data and mapping application, PolicyMap, which provides access to indicators related to U.S. housing, crime, mortgages, health, jobs, demographics, and education. Registration […]
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This session covers creating interactive visualizations with Shiny in RStudio, delivering Shiny visualizations on the web, and hosting a Shiny server. Workshop conducted via Zoom. Register to receive the Zoom […]
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Learn practical ML application to achieve a simple predictive model and performance interpretation through these key topics: When to use machine learning Basic model building Model evaluation and limitations Attendees […]
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Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by […]
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Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews repositories for data publication such as Dataverse, ICPSR, […]
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NVivo queries let participants search, analyze, and visualize coded data to find patterns across files. This session covers the three main query types and their visualization NVivo offers, moving from […]
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Registration is required. Link to register: https://libcal.rutgers.edu/event/17786601 Dear Members of the Rutgers Community, We are excited to announce the next installment in our University Librarian’s Symposium Series on Artificial Intelligence […]
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This session presents an overview of major data resources and methods of locating data with a focus on diversity and data for minorities and underrepresented groups. Workshop conducted via Zoom. […]
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Learn how to integrate spatial data with ML through these key topics: Spatial feature engineering Basic clustering or classification Interpreting spatial ML outputs Attendees will develop a simple spatial model […]
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