Mathematics

# MATH 7243: Machine Learning and Statistical Learning Theory

Lecture - 4 credits

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- Introduces both the mathematical theory of learning and the implementation of modern machine-learning algorithms appropriate for data science.
- Modeling everything from social organization to financial predictions, machine-learning algorithms allow us to discover information about complex systems, even when the underlying probability distributions are unknown.
- Algorithms discussed include regression, decision trees, clustering, and dimensionality reduction.
- Offers students an opportunity to learn the implications of the mathematical choices underpinning the use of each algorithm, how the results can be interpreted in actionable ways, and how to apply their knowledge through the analysis of a variety of data sets and models.

Introduces both the mathematical theory of learning and the implementation of modern machine-learning algorithms appropriate for data science.

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