Hello everyone,
Regarding the March Webinar, there was a time mix up between the announcement stating the
webinar was taking place at 12:00 pm - 12:30 pm and the zoom like was actually stating
4:00 pm - 4:30 pm. I have updated the information on the zoom link, please take note that
the webinar is actually taking place from 12:00 pm - 12:30 pm. Very sorry for the
confusion.
Thank you,
Kati
________________________________
From: Taylor, Kati <klt5425(a)psu.edu>
Sent: Tuesday, March 5, 2024 4:24 PM
To: Consortium for the Advancement of Undergraduate Statistics Education
<cause(a)causeweb.org>
Subject: March Webinar Announcement
Active-Learning Class Activities and Shiny Applications for Teaching Support Vector
Classifiers
Thursday, March 21, 2024 12:00 - 12:30 pm ET
Presented by: Qing Wang (Wellesley College) and Xizhen Cai (Williams College)
Abstract: In this March edition of the JSDSE/CAUSE webinar series, we highlight the 2023
article: Active-Learning Class Activities and Shiny Applications for Teaching Support
Vector Classifiers. The authors will discuss support vector classifiers, one of the most
popular linear classification techniques for binary classification. Different from some
commonly seen model fitting criteria in statistics, such as the ordinary least squares
criterion and the maximum likelihood method, its algorithm depends on an optimization
problem under constraints, which is unconventional to many students in a second or third
course in statistics or data science. As a result, this topic is often not as intuitive to
students as some of the more traditional statistical modeling tools. In order to
facilitate students’ mastery of the topic and promote active learning, the authors have
developed some in-class activities and their accompanying Shiny applications for teaching
support vector classifiers. The designed course materials aim at engaging students through
group work and solidifying students’ understanding of the algorithm via hands-on
explorations. The Shiny applications offer interactive demonstration of the changes of the
components of a support vector classifier when altering its determining parameters.
Article Link:
https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2231065
The webinar is free but pre-registration is required. Please sign up at:
https://causeweb.org/cause/webinar/jsdse/2024-03
Please join us!
Ciaran Evans