
correlation, part 1
Course Code
PSYL11053 Licence Type
Creative Commons  Attribution Language
English Date Created
October 9th, 2020


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All rights reserved The University of Edinburgh


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All rights reserved The University of Edinburgh


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All rights reserved The University of Edinburgh


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All rights reserved The University of Edinburgh


When principal components fail
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Principal component analysis for the impatient
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Eigenvalue = variance along eigenvector
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Eigenvector = direction of maximum variance
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Finding eigenvalues and eigenvectors
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Principal components = eigenvectors
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Summary
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Gaussian mixture model (GMM)
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Example where Naive Bayes Fails
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Generative vs Discriminative
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