PHYS360 - STATS, DATA MINING, MACH

This is a practical course on computing, numerical methods, statistics, and data analysis techniques with particular emphasis on data mining and machine learning applied to large datasets. Topics include basic numerical methods and algorithms, probability theory, classical and Bayesian statistical inference, model fitting, Monte Carlo methods, and classification. We will be using Python for the exercises. Prior experience in programming (in any language) is required.
Section 001 - LEC
MW 0100PM-0230PM
R 0400PM-0500PM
SAKO, MASAO
DAVID RITTENHOUSE LAB 3N1H
DAVID RITTENHOUSE LAB 3N1H