Introduction to Machine Learning

Module code: ECOM197

Credits: 15.0
Semester: SEM1

Contact: Mr Hao Ma

The Introduction to Machine Learning course provides a comprehensive exploration of fundamental machine learning concepts, techniques, and applications. Students will engage with the material through regular quizzes testing their grasp of key concepts. The central focus of the course is a collaborative group project that provides practical experience in applying machine learning principles to real-world problems. This course fosters continuous learning, teamwork, and the practical application of theoretical knowledge, thus equipping students with valuable skills for their future roles in the field.

Connected course(s): UDF DATA
Assessment: 80.0% Coursework, 20.0% Examination
Level: 7