Introduction to Machine Learning (IT 333)
Term: 2026-27 Academic Year Fall Semester
Schedule
Tue-Thu, 11:00 AM - 12:20 PM (8/17/2026 - 12/11/2026) Location: ONL DL
Description
This course exposes students to the fundamental concepts of machine learning. Students will apply these concepts to build environments where machines/software can learn and adapt to complex situations and develop solutions. Some areas of application to be covered include: recommendation engines; face recognition; predicting with regression algorithms; neural networks; text analysis techniques; clustering and topic modeling; convolutional neural networks; and reinforcement learning. Prerequisite: IT-218