MTH 4xxx: Introduction to Machine Learning

Spring 2021

This is a course I designed to first be taught as


MTH 4920: Special Topics in Applied Mathematics

MTH 5050: Special Topics


in Spring 2021. It provides a broad introduction to the field and covers methods for classification, regression, clustering, and dimensionality reduction [Syllabus]

GitHub repository (will contain notes, code, other information):

Recommended Books

Mohammed J. Zaki and Wagner Meira, Jr. Data Mining and Machine Learning: Fundamental Concepts and Algorithms. Cambridge University Press, 2020. (Free to read online)

Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning. Springer-Verlag, 2009. (Free to download online)


Andrew Ng. Machine Learning (Stanford course videos).

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