MATH 4310 - Machine Learning

3
Cross Listed: MATH 5310 and STAT 5310
Prerequisite: MATH 1910 or instructor permission
Description: This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, deep learning); learning theory and best practices for applying machine learning algorithms to areas including computer vision, text processing, and bioinformatics.