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Multivariate Methods II: ICA for Functional Brain Imaging
Explores Independent Component Analysis in functional brain imaging, focusing on non-Gaussian sources, cleaning artefacts, and group studies.
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Explores Principal Component Analysis for dimension reduction and data representation in a new basis.
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Principal Component Analysis: Understanding Data Structure
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Unsupervised learning: Young-Eckart-Mirsky theorem and intro to PCA
Introduces the Young-Eckart-Mirsky theorem and PCA for unsupervised learning and data visualization.
Linear Dimensionality Reduction
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