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 will develop a simple predictive model with associated performance interpretation. (Applied Data Science, Workshop 4) Instructor: Terri-Ann Grant Related LibGuide: Data Science – Graduate Specialists by […]
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 DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 28, 2026 […]
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, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages are an excellent way to distribute collections of […]
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 simplest to more complex. This session assumes participants already know how to code files in NVivo. Word frequency query (word cloud) Text search query (word […]
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 in Higher Education. Rutgers faculty, staff, and students are invited to join us for AI in Higher Education: Ethical and Legal Considerations. Through presentations and […]
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. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at https://libguides.rutgers.edu/data_topics Instructor: Ryan Womack Related LibGuide: Data Topics by […]
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 and map-based prediction. (GIS & Spatial Analytics, Workshop 4) Instructor: Terri-Ann Grant Related LibGuide: Data Science – Graduate Specialists by Ryan Womack Date:Tuesday, November 3, 2026 […]
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 DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Nov 4, 2026 […]
This workshop will teach students how to explore and access SAS data sets, import and export non-SAS file formats, and manipulate data with formulas and assignment statements. All skill levels are welcome! Instructor: Jonathan Torres (Business Librarian) Date:Thursday, November 5, 2026 Time:11:00am – 12:00pm Time Zone:Eastern Time – US & Canada (change) Division:Newark Event Type: […]
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 simplest to more complex. This session assumes participants already know how to code files in NVivo. Word frequency query (word cloud) Text search query (word […]
