CISC 817 - Large Scale Machine Learning

Credit(s): 3

LARGE SCALE MACHINE LEARNING
Component: Lecture
Introduction to the analysis and processing of massive and/or high-dimensional data. Large-scale machine learning problems can involve growth in the number of data points, features, target variables, or related prediction tasks. Approaches to address these cases rely on concepts from optimization theory, statistics, and artificial neural networks. Computational and statistical scaling from both theoretical and practical perspectives are covered.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with ELEG 817 and FSAN 817.

Course Typically Offered: Fall