Learn how to apply a complete data analysis pipeline focusing on the key topics: Data loading and cleaning (Pandas) Exploratory data analysis (EDA) Identifying patterns and insights Attendees will develop […]
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Events
10 events found.
Events
The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here […]
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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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Get started early with keeping track of what you read! Zotero is a free application that collects, manages, and formats citations and bibliographies. In this introductory, hands-on workshop, we’ll learn […]
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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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NVivo is a qualitative data analysis software that helps researchers manage, code, and markup data for qualitative studies. In this session, participants will get the conceptual background before touching the […]
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Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from apps to automation to data analysis. In this workshop, […]
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Learn the foundations of spatial data through these key topics: Spatial data types (points, lines, polygons) Basic mapping Attendees will develop a simple spatial dataset and map visualization. (GIS & […]
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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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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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