ESE 5450 Data Mining: Learning from Massive Datasets

Short Description

Many scientific and commercial applications require us to obtain insights from massive, high-dimensional data sets. In this graduate-level course, students will learn to apply, analyze and evaluate principled, state-of-the-art techniques from statistics, algorithms and discrete and convex optimization for learning from such large data sets. The course both covers theoretical foundations and practical applications.

Portfolio Building Course

No

Pre-Requisites

CIT 5920 Mathematical Foundations of Computer Science & CIS 5150 Fundamentals of Linear Algebra & Optimization (Math for Machine Learning)

Content

Many scientific and commercial applications require us to obtain insights from massive, high-dimensional data sets. In this graduate-level course, students will learn to apply, analyze and evaluate principled, state-of-the-art techniques from statistics, algorithms and discrete and convex optimization for learning from such large data sets. The course both covers theoretical foundations and practical applications.