ECE 5414

Applied Machine Learning

Course Description

Course information provided by the 2025-2026 Catalog.

Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, and dimensionality reduction.

Prerequisites REF-FA25/Corequisites REF-FA25 CS 2800 or equivalent and basic familiarity with Matlab or Python, or permission of instructor. Corequisites: None.

Enrollment Priority REF-FA25 Enrollment limited to: Cornell Tech students.

Last 4 terms offered (None)

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