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DSC 240Machine Learning

4 units · DSC · UC San Diego

A graduate level course in machine learning algorithms: decision trees, principal component analysis, k-means, clustering, logistic regression, random forests, boosting, neural networks, kernel methods, deep learning.

Before you enroll

Prerequisites

From the catalog: “DSC 210 and DSC 212. Restricted to students within the DS75 and DS76 major.”

What it opens up

Courses that list DSC 240 as a prerequisite (5)

  • DSC 205 Geometry of Data
  • DSC 245 Introduction to Causal Inference
  • DSC 251 Machine Learning in Control
  • DSC 261 Responsible Data Science
  • DSC 270 Interpretability and Explainability in Machine Learning