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AIML1030 — Intro to Machine Learning

3 credits · 3 hours

Add to Custom Catalog This course introduces students to the foundational concepts and methods of machine learning, focusing on how computers use data to identify patterns, make predictions, and support decision-making. Topics include data acquisition and preparation, supervised and unsupervised learning techniques, and model evaluation. Emphasis is placed on understanding algorithmic reasoning and developing practical skills with common machine learning tools. Any

Prerequisites: COSC1010, STAT2050

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