MACHINE LEARNING.

Catalog description

Pre-requisites: CSCD 300 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 584L . Study of various methods for learning and recognizing patterns in data. Discusses supervised learning models that include the perceptron learning algorithm, linear regression and its nonlinear transformation, logistic regression, neural networks, and model ensembles. Focuses on explaining why these under-hood “learnings” can be possible and how they are achieved. Programming assignments are required to implement these machine learning mechanisms from scratch. Companion course to CSCD 584L .