Skip to main content
Princeton Mobile homeCourses home

Introduction to Machine Learning

COS 324

Info tab content
Provides a broad introduction to different machine learning paradigms and algorithms, providing a foundation for further study or independent work in machine learning, artificial intelligence, and data science. Topics include linear models for classification and regression, support vector machines, neural networks, clustering, principal components analysis, Markov decision processed, planning, and reinforcement learning. The goals of this course are three-fold: to understand the landscape of ml, how to compute the math behind techniques, and how touse Python and relevant libraries to implement and use varioius methods.
Sections tab content

Section L01

Section P01

Section P02

Section P03

Section P04

Section P05

Section P06

Section P07