ECSE 551 Machine Learning for Engineers (4 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)


Electrical Engineering : Introduction to machine learning: challenges and fundamental concepts. Supervised learning: Regression and Classification. Unsupervised learning. Curse of dimensionality: dimension reduction and feature selection. Error estimation and empirical validation. Emphasis on good methods and practices for deployment of real systems.

Terms: Fall 2024, Winter 2025

Instructors: Armanfard, Narges (Fall) Armanfard, Narges (Winter)

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