This workshop will introduce the relational database as an alternative to spreadsheets. We will use the self-contained SQLite database engine, practicing with both an easy to use graphical user interface (GUI) and exploring the corresponding SQL commands. We will discuss appropriate use cases for a database engine like SQLite and how it compares to server-based … Read More
This workshop will give an introduction to machine learning methods with neural networks. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python
This workshop will give an introduction to machine learning methods with decision trees and random forests. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python
Systematic, Scoping, and Literature Reviews, Oh My! An Introduction to Evidence Synthesis in the Social Sciences Are you a social science faculty member or graduate student interested in learning about systematic or scoping reviews? Are you curious about what these methods entail? This workshop is for you! Evidence synthesis methods are growing in popularity among … Read More
Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. Deep learning (DL) outperforms Machine Learning (ML) in many applications such as Computer Vision (CV) and Natural Language Processing (NLP). In this workshop, we will go through the basics of artificial neural networks (ANN), … Read More
Registration for the 2023 conference is now open! Keynote Speaker: Katie McDonough, Alan Turing InstituteThe Conference Planning Committee is pleased to announce Katie McDonough as the 2023 BTAA GIS Conference Keynote Speaker, presenting "Reading Maps: Making, Searching, and Interpreting Text on Maps". Machine learning methods are transforming the ways that anyone can interact with map … Read More
This workshop will discuss Deep Learning and Convolutional Neural Networks as used in Machine Learning. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python
In this introductory workshop, we will access historical and current newspaper data via web APIs using the programming language R. We will use freely available newspaper data from the Library of Congress's Chronicling America website and the New York Times Developer Portal. We will generate dataframes and create some simple data visualizations from downloaded data.
Location: Hatchery Innovation Studio in Alexander LibraryCelebrate GIS Day and Geography Awareness week! Together with fellow Rutgers students, staff and faculty, you will contribute geospatial data to OpenStreetMap, a free and editable map of the world that is used by communities, organizations and governments worldwide to address local development challenges and aid disaster response. Our … Read More
In this introductory workshop, we will access historical and current newspaper data via web APIs using the programming language R. We will use freely available newspaper data from the Library of Congress's Chronicling America website and the New York Times Developer Portal. We will generate dataframes and create some simple data visualizations from downloaded data.