TKPR221 MTH221-FUNDAMENTALS OF MACHINE LEARNING
| Course Code: |
7950221 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
5.0 |
| Department: |
Meslek Yüksekokulu |
| Language of Instruction: |
English |
| Level of Study: |
Undergraduate |
| Course Coordinator: |
|
| Offered Semester: |
Fall and Spring Semesters. |
Course Content
The "Fundamentals of Machine Learning" course is designed to provide a comprehensive introduction to the core concepts, techniques, and algorithms of machine learning. The course will cover a wide range of topics, including supervised learning, unsupervised learning, model evaluation, and model selection. Students will learn about various machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors, and neural networks. The course will also include hands-on programming exercises and projects to provide practical experience in implementing and evaluating machine learning algorithms.
