Course DescriptionThis 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 â??ensemble learning,â?? which combine the output from different learning techniques. On each topic, examples in Python are provided as lab materials.
The deadline to enroll in CIND 840 for Winter term is January 8, 2021.
Students will also not be allowed to swap between sections of the Data Analytics courses after January 8, 2021.
Course materials, video lectures and discussions are delivered and facilitated online within the D2L Learning Management System.
Throughout the semester, student questions related to course content may be answered either by the instructor on discussion board or by an online tutor via email.
RequisitesPrerequisites: CMTH 642
- Practical Data Science and Machine Learning : Required