Techniques in Supervised Machine Learning

Event description
- Academic events
- Free
- Professional and career development
Expanding upon the principles of Supervised Machine Learning, in this Open Lab, Digital Humanities Analyst Namig Abbasov, will cover machine learning techniques tailored for regression problems, along with the metrics used to evaluate these techniques. We will also examine ensemble learning methods as much as time allows.
Event contact
Unit for Data Science and Analytics, ASU Library
datascience@asu.edu
Date
Wednesday, February 7, 2024
Time
10 a.m. – 11 a.m. (MST)
Cost