EE 499 Special Topics: Machine Learning for Electrical and Computer Engineers

This course provides a broad introduction to modern machine learning, including:

• Supervised learning (linear regression, logistic regression, neural networks, and decision trees)
• Unsupervised learning (clustering, dimensionality reduction)
• Deep learning concepts and some important applications of Artificial Intelligence and Machine Learning

About this course

• Units: 4 units
  

• Semester: Spring 2023
  

• Lectures: Tues/Thurs, 3:30-5:20
  

• Discussion/lab: Friday, 2:00-4:00
  

• Instructors:
  • Keith Chugg (chugg@usc.edu)
    
  • Antonio Ortega (aortega@usc.edu)
    
• Pre-requisites:
  
  • EE141L (or Math 225)
    
  • EE155L (or equivalent proficiency in C++, Matlab, Python)
    
  • EE364 (or Math 407)
    
  • EE301L (recommended, but not required)