COMPUTATIONAL TECHNIQUES FOR BIG DATA

Catalog description

Introduction to various techniques drawn from mathematics and statistics to help conduct analytics on large data sets. Data compression and organization, dimensionality reduction, separation of signal from noise and mixed data, clustering techniques, introduction to compressive sensing, and model building techniques.