CS 5785 - Applied Machine Learning

Fall. 3 credits. Letter grades only.

Prerequisite: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor. Enrollment limited to: Cornell Tech students. Offered at Cornell Tech in New York City.

Staff.

Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, and dimensionality reduction.