AIDA.2203 Introduction to Machine Learning
Id: 042957 Credits: 3-3Description
This hands-on studio course introduces machine learning through practical Python-based experimentation. Students learn how to apply existing machine learning tools and libraries to real-world problems without assuming prior ML theory. The focus is on data preparation, model usage, evaluation, and interpretation rather than mathematical derivation. Through weekly labs and final project, students progressively build practical experience in designing, implementing, and assessing complete machine learning workflows.
Prerequisites
Co-req: AIDA.2203L Introduction to Machine Learning Lab.
Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.