Course Descriptions

16:954:581 Probability and Statistical Theory for Data Science (3)

The study of probabilistic and inferential tools important for applications in data science. Topics covered: Probability distributions; decision theory, Bayesian inference, classification, prediction; law of large numbers, central limit theorem; point and interval estimation; multiple testing, false-discovery rates.