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Machine Learning

This course surveys the theory of machine learning methods used in the analysis of functional neuroimaging data and provides an introduction to numerical programming with Python.

Machine Learning
Mathematical preliminaries
Introduction Video Exercises
Optimization Video Exercises
Principal component analysis Video Exercises
Gaussian models Video Exercises
Support vector machines Video Exercises
Linear discriminant analysis  Video Exercises
Logistic regression Video Exercises
Neural networks Video  
Numerical Python Programming Videos
Problems, algorithms, and programs
Basics
Functions and namespaces
Tuples, lists, and dictionaries
If, Booleans, and while
Break, continue, for