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May 09, 2026
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TAS 337 - Practical Artificial Intelligence and Machine Learning In this self-directed course, students pitch, design, and program a significant machine learning and/or predictive analytics project over the course of the semester. By exploring real-world examples of AI technologies and their implementations, students will gain expertise in determining how these tools can be appropriately applied to business and public contexts and how to manage a project through the entire data lifecycle. Students will work with a real model and train it with real data, to solve a problem significant to the student’s personal or professional interests. Course codes: ABR. Prerequisite: TAS*239.
Prerequisites & Notes Course codes: ABR. Prerequisite: TAS*239. Term cycle: fall. Yearly cycle: even years.
Credits: 3
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