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)
Lecturer in Computer Science & Data Science
I am a computational biologist and data scientist bridging artificial intelligence, evolutionary genomics, and climate-resilient agriculture. My research leverages cutting-edge machine learning and bioinformatics to address global food security challenges in the face of rapid climate change. With publications in high-impact journals including Nature Plants, PNAS, and Genome Research (h-index: 7), I develop tools and methods that advance both computational science and real-world applications.