STATS 415: Data Mining and Statistical Learning - UMich

Statistics

This course covers the principles of data mining, exploratory analysis, and visualization of complex data sets, and predictive modeling. The presentation balances statistical concepts (such as model bias and over-fitting data, and interpreting results) and computational issues (including algorithmic complexity and strategies for efficient implementation). Students are exposed to algorithms, computations, and hands-on data analysis in weekly discussion sessions.