This course provides an understanding of the role of machine learning in computer science and artificial intelligence. Topics include:
The emphasis is for the students to learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
The aims of this course are:
Upon the successful completion of this course, students should be able to:
Textbooks:
References:
Evaluation | Marks | Percentage |
---|---|---|
Attendance | 10 Marks | 10% |
Tutorial | 10 Marks | 10% |
Assignments/Presentation | 10 Marks | 10% |
Final Examination | 70 Marks | 70% |