Karabakh University Courses
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[DAM 302] Machine Learning
Instruction Language
Azerbaijani
Course Description
This course explores the algorithms and statistical models that allow computer systems to improve their performance through experience. The curriculum focuses on supervised learning, including regression and classification, alongside unsupervised techniques like clustering and dimensionality reduction. Students investigate neural networks, support vector machines, and the importance of feature engineering. The course emphasizes model evaluation using metrics like precision, recall, and cross-validation. By the end of the semester, students will be capable of building predictive systems and implementing automated decision-making models, providing the advanced analytical skills necessary for roles in AI research, data science, and autonomous systems.
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