An Introduction to Classical Machine Learning
In this seminar, Josh Fuchs, PhD, will introduce classical machine learning. Fuchs will cover the core concepts related to supervised and unsupervised learning, discuss strategies to prepare EHR data for modelling, and share common evaluation approaches.
Speaker:
Josh Fuchs, PhD
Research Data Scientist
TraCS Data Science Lab
Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are usually held monthly on the third Tuesday of the month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.
The 2024 NIH Public Access Policy includes several significant changes from the previous policy, and applies to all NIH-funded manuscripts accepted for publication on or after July 1, 2025. Learn more about what has changed, how to comply, and what to expect going forward.
This program is offered via Zoom by the Health Sciences Library and the Scholarly Communications Office, and led by Collin Drummond and Katherine Howell.
Experts from RAISE, RCS, OSP, SPO, and/or HSL will be available to answer questions about the new NIH requirements during this office hour opportunity. Registration is required and will close two days before the session.
Questions? contact This email address is being protected from spambots. You need JavaScript enabled to view it.
Experts from RAISE, RCS, OSP, SPO, and/or HSL will be available to answer questions about the new NIH requirements during this office hour opportunity. Registration is required and will close two days before the session.
Questions? contact This email address is being protected from spambots. You need JavaScript enabled to view it.
Communicating Research: A Narrative Approach
Join the UNC Network for Research Professionals (NRP) for a hybrid education session on Relational Leadership, narrative structure, and building trust through sharing intentional stories of self.