This course offers a comprehensive overview of probability and statistics with a focus on applications in artificial intelligence (AI). Students will learn fundamental concepts of probability theory, including random variables, probability distributions, and statistical inference. The course emphasizes understanding and applying these concepts to real-world AI challenges, such as data analysis, machine learning model evaluation, and decision-making under uncertainty. Through lectures, hands-on exercises, and projects, participants will gain the statistical foundation necessary to effectively develop and evaluate AI systems.
Grad Scheme
Letter