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Mathematical Sciences

Mathematical Sciences Research

Applied Geometry
Approximation Theory
Chemically-Reacting Flows
Computational Logic
Dynamical Systems
Environmental Problems
Fluid Dynamics
Inverse Problems
Machine Learning
Math Education
Mathematical Physics
Multiphase Flows
Nonlinear Analysis
Nonlinear Materials
Nonlinear Waves
Operations Research and Mathematical Programming
Perturbation Methods
Scientific Computing

Mathematical Sciences Research
Machine Learning

Machine learning is an area of artificial intelligence concerned with the development of techniques that allow computers to “learn.” More specifically, machine learning is a method for creating computer programs by the analysis of data sets.

Machine learning overlaps heavily with statistics, since both fields study the analysis of data. But unlike statistics, researchers concern machine learning with the algorithmic complexity of computational implementations. Part of machine learning research is the development of tractable approximate inference algorithms.

Faculty Researcher

Kristin Bennett


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