CNG409 SPECIAL TOPICS: INTRODUCTION TO MACHINE LEARNING
| Course Code: | 3550409 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
At the end of the course, students will be able to:
• Formulate machine learning problems and propose viable solutions to them.
• Manipulate data to extract features and information necessary for solutions.
• Design and evaluate machine learning systems.
• Use tools created for data mining and machine learning.
• Understand and apply different machine learning algorithms to appropriate problems.
Course Content
This course provides a broad introduction to machine learning. The topics include supervised and unsupervised learning, Bayesion inference/classification, regression, clustering, kernels and Support Vector Machines (SVM) and accompanying concepts such as model and feature selection, combining classifiers such as boosting, active learning, dimension reduction techniques.