Fogler Library Faculty Newsletter 11-10-2020
New University of Maine Finding Aids, Supervised Machine Learning Workshop, Reference Librarian Availability after Thanksgiving
- New University of Maine Finding Aids
- Supervised Machine Learning Workshop
- Reference Librarian Availability after Thanksgiving
Featured Resource: Roper iPoll
The Roper iPoll archives can be useful in analyzing social trends based on opinion polling. Includes the iPoll Databank, Presidential Approval Ratings and U.S. Elections data, and 17,000 international and U.S. datasets. RoperExpress allows on-demand download of data and RoperExplorer can be used for cross-tabular analyses.
1. New University of Maine Finding Aids
More finding aids for University of Maine records held by Fogler Library have been added to the finding aid page on Digital Commons. The most recent finding aids are for the papers of former faculty members Kathryn J. Olmstead, Jerome J. Nadelhaft, James Arnold Colbath, and Richard J. Campana; records from the Maine Center for Student Journalism; and Office of Facilities Management for historical material on campus buildings. Matthew Revitt (matthew.revitt@maine.edu), Special Collections and Maine Shared Collection Librarian, is currently processing the papers of former University of Maine professors William Glanz and Brian Robinson. If you have material you think might be appropriate for the University Archive please contact matthew.revitt@maine.edu.
2. Supervised Machine Learning Workshop
November 18 @ 6:00 pm – 7:00 pm
This workshop will provide an introductory overview of supervised machine learning as a general approach to building classification and regression models from a set of example observations. We will begin with an overview of the topic, highlighting a few common algorithms. We will subsequently dive into some hands-on examples using the Python programming language and the Jupyter Notebook, a web application widely used for developing and sharing code, data visualizations, and analyses.
Previous programming experience is not required. We recommend having a fully charged device with Jupyter and Python 3 already installed for the workshop. Virtual desktops will be available for those who cannot download the software.
This introductory workshop is presented in collaboration with UMaine’s Advanced Computing Group.
To attend, please register online in advance.
About the Presenter
Kasey Legaard is a Research Assistant Professor in the Center for Research on Sustainable Forests and the School of Forest Resources at the University of Maine. His research revolves around the development and application of supervised machine learning methods in satellite remote sensing.
3. Reference Librarian Availability after Thanksgiving
As Thanksgiving break approaches, please let your students know that Reference Librarians will be available for drop-in service even after campus transitions to remote learning. After Thanksgiving, students can get drop-in service in the following ways, days, and times:
Monday – Thursday
In-person, chat, email, 10:00 am – 2:00 pm
Chat, email only, 3:00 pm – 5:00 pm
Friday
In-person, chat, email, 10:00 am – 1:00 am
Chat,email only, 1:00 – 2:00 pm
Please encourage your students to contact us with any questions about research for their assignments.