This short course helps everyone make those first few steps toward productively using a Linux cluster for research — all members of the Rutgers community have free access to the […]
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Events
10 events found.
Events
The forum is co-sponsored by the RAD Collaboratory Register here: https://go.rutgers.edu/njbda_research_forum Artificial Intelligence – Policy, Law and Innovation Exploring the path ahead for strategic research in the context of emerging […]
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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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This capstone workshop focuses on developing a complete GIS portfolio project with key topics including: Structuring GIS projects Combining maps with analysis Presenting results Attendees who complete the series with […]
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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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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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Students will learn how to use Tableau for creating data visualization formats and real-time data analytics features using business datasets. Learn how to prepare, analyze, and share your data. Instructor: […]
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This session introduces basic descriptive data analysis and data wrangling in the context of the R statistical software environment, along with some comparisons to Python methods. Workshop conducted via Zoom. […]
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This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar […]
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This workshop covers basic data visualization in R, with emphasis on ggplot2 and associated packages. The focus here is on R techniques, with a brief comparison to Python techniques for […]
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