INFO 5368

Practical Applications in Machine Learning (PAML)

Course Description

Course information provided by the 2025-2026 Catalog.

This course provides hands-on experience developing and deploying foundational machine learning algorithms on real-world datasets for practical applications including predicting housing prices, document retrieval, and product recommendation, and image classification using artificial neural networks. Students will learn about the machine learning pipeline end-to-end including dataset creation, pre- and post-processing, preparation for machine learning, training and evaluating multiple models. Students will focus on real-world challenges at each stage of the ML pipeline while handling bias in models and datasets.

Enrollment Priority Recommended prerequisite: recommended coursework in Python Programming.

Last 1 Terms Offered 2025SP

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