Optimization for Machine Learning

1.5 credits · Undergraduate

The steepest descent, Newton, conjugate, and quasi-Newton algorithms for unconstrained optimization. Inexact line search techniques. Application of optimization methods to classification, logistic regression, and support vector machines for signal processing and machine intelligence involving audio, image, video, and other types of data. Introduction to constrained optimization.