Karabakh University Courses
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[KOM 412] Fundamentals of Machine Learning
Instruction Language
Azerbaijani
Course Type
Elective - Block 5
Course Description
This course introduces the core concepts and algorithms that enable computers to learn from data and make predictions. The curriculum covers the primary paradigms of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Students explore key algorithms such as linear regression, decision trees, and neural networks, while learning about model evaluation and overfitting. The course emphasizes practical implementation using Python libraries like Scikit-learn. By the end of the semester, students will be capable of building, training, and deploying predictive models to solve real-world data-driven problems.
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