DSE 220: Introduction to Machine Learning

Sep 15, 2025 · 1 min read
courses

Course Overview

DSE 220: Introduction to Machine Learning is a graduate course in the Data Science & Engineering program at UC San Diego.

Topics Covered

  • Supervised learning (regression, classification)
  • Unsupervised learning (clustering, dimensionality reduction)
  • Model evaluation and selection
  • Neural networks fundamentals
  • Ensemble methods
  • Practical ML applications

Offering Schedule

  • 2025 (Instructor of Record)
Machine Learning Data Science Graduate
Edwin Solares
Authors
Edwin Solares (he/him)
Executive Director, ESB AI Lab Corporation
Executive Director of ESB AI Lab Corporation, a 501(c)(3) nonprofit advancing research in AI, machine learning, computer vision, and genomics. Previously a Lecturer at UC San Diego. My research harnesses AI and bioinformatics for food security and species conservation. Published in Nature Plants, PNAS, Genome Research, and G3 (h-index: 7).