Introduction to Machine Learning (IT 333)
Term: 2024-25 Academic Year Spring Semester
Faculty
There is not currently a faculty member for this course
Schedule
Thu, 8:30 AM - 11:30 AM (1/21/2025 - 5/16/2025) Location: MAIN
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