Exploring Unsupervised Machine Learning Techniques
Event description
- Academic events
- Free
- Professional and career development
In this Open Lab, Digital Humanities Analyst Namig Abbasov, will begin with an intuitive exploration of unsupervised machine learning.
Following that, we will review clustering and dimensionality reduction and techniques for these tasks including k-means clustering and principal component analysis.
Event contact
Unit for Data Science and Analytics, ASU Library
datascience@asu.edu
Date
Wednesday, February 14, 2024
Time
10 a.m. – 11 a.m. (MST)
Cost