This course covers the major ideas and principles underlying current practices of data mining. It starts with what machine learning is, where it can be used and different kinds of knowledge representations that are involved. Then, the course spans advanced techniques of data mining, at
the lowest and most detailed levels. Finally, the course is wrapped up by covering techniques of âensemble learning,â which combine the output from different learning techniques. On each topic, examples in Python are provided as lab materials.
Weekly Contact: Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1