
Feature Transforms and Radial Basis Functions
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Diagnosing problems and dealing with multiple output values
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A probabilistic formulation of the linear model
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How we fit parameters for the linear model
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The Linear Model and Examples
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Preliminaries  perceptrons
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Linear Regression Summary
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Feature Transformation
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Basis Expansion
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Multiple Regression
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A Probabilistic View
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Problems with Outliers
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Fitting the Linear Model to Data
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Linear Algebra Formulation
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Linear Regression Examples
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Topic Overview
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