
This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Meryem Bousebata Talk Title: Extreme Partial LeastSquares regression Abstract: In this communication, we…
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In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we…


The concept of the characteristic function for scalar random variables
is extended to multivariate densities of random vectors. This is defined
as the multidimensional Fourier transform, or the…
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PGEE11164 Licence Type
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October 18th, 2020


This video reviews the probability density function (pdf) for the
multivariate Gaussian random variable. This pdf is then derived by
developing the isotropic multivariate Gaussian, and then…
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PGEE11164 Licence Type
All rights reserved Date Created
October 15th, 2020


This video builds on the Statistical Descriptors introduced in Topic 35
by discussing the covariance matrix, the correlation coefficient, and
then the crosscorrelation and crosscovariance…
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PGEE11164 Licence Type
All rights reserved Date Created
October 12th, 2020


This video considers the properties of valid correlation matrix, including the Hermitian property, positive semidefiniteness, and positive realvalued leading diagonal. This video proves these…
Course Code
PGEE11164 Licence Type
All rights reserved Date Created
October 12th, 2020


How we fit parameters for the linear model
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The Linear Model and Examples
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Computing the Margin
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Overview and Setting the Scene
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Logistic Regression
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Mathematics You'll Need
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