Discover structure
Clustering, PCA, density estimation, mixture models, and EM.
Georgia Tech · Course hub
Computational
Data Analysis
Lecture notes, examples, code, and references for the ideas and algorithms of modern machine learning.
Current offeringFall 2026
CourseCSE 6740
InstitutionGeorgia Tech
FormatLecture + open notes
The course
From geometric intuition to learning systems.
CSE 6740 develops the foundations and practical tools needed to reason about machine learning and data analysis. We move from clustering and dimensionality reduction through statistical learning, neural networks, generative models, and reinforcement learning.
This permanent course site brings together lecture notes, examples, code, and references in one public resource. Each offering has its own schedule and preserved materials.
Learning pathway
One semester, four arcs
Learn to predict
Feature selection, trees, classifiers, kernels, and Gaussian processes.
Build deep models
Optimization, neural networks, CNNs, autoencoders, and diffusion.
Act & sequence
Recurrent models, transformers, and reinforcement learning.