Understanding the Principles in Supervised Machine Learning

Event description

  • Academic events
  • Free
  • Professional and career development

In this open lab, Digital Humanities Analyst Namig Abbasov, will begin by taking an intuitive approach to understand the principles underlying supervised machine learning.

We will then draw parallels between supervised machine learning and predictive modeling. Following that, we will explore various supervised learning algorithms designed for solving classification problems and review metrics for these classification techniques.

Event contact

Unit for Data Science and Analytics, ASU Library
datascience@asu.edu
Date

Wednesday, January 31, 2024

Time

10:00 am11:00 am (MST)

Location

Online

Cost

Free