MATH 162 PZ -Machine Learning

Institution: Pitzer

Description: Machine Learning (ML) is the process of discovering patterns in large data sets using techniques from mathematics, computer science and statistics. Applications range from biology and neuroscience to history, linguistics, and economics. In this course students will learn the mathematics and implementation of classical ML algorithms such as regression, K-Means, and kNN. Students will also be introduced to neural networks and their implementation in Python.

Prerequisite(s): See the current course schedule for registration restrictions.

For up-to-date information on current course offerings and details, please refer to the Pitzer class schedule on MyCampus2 Portal .