PhDAI 730 - Statistics for AI

Credit(s): 3 hours
This course explores the foundational statistical concepts and methods essential for developing, analyzing, and applying artificial intelligence (AI) models. Students will gain a deep understanding of probability, hypothesis testing, regression, and data distribution as they pertain to AI and machine learning algorithms. Through hands-on exercises and practical applications, learners will develop skills to interpret data patterns, assess model performance, and make data-driven decisions in real-world AI scenarios. The course is designed for students seeking to strengthen their quantitative and analytical skills in preparation for advanced AI and machine learning coursework.