MATH166 CM - Introduction to Data Mining

Data mining is the process of discovering patterns in large data sets using techniques from mathematics, computer science and statistics with applications ranging from biology and neuroscience to history and economics. The goal of the course is to teach students fundamental data mining techniques that are commonly used in practice. Students will learn advanced data mining techniques (including linear classifiers, clustering, dimension reduction, transductive learning and topic modeling). Cross-listed as CSCI 145 CM.

Prerequisites: MATH 060 CM; CSCI 062 CM or proof-based math course above 100; or instructor consent.

Offered: Every year

Credit: 1

Course Number: MATH166 CM