Introductory Applied Machine Learning
Introductory Applied Machine Learning
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Feature Transforms and Radial Basis Functions
Feature Transforms and Radial Basis Functions
From Nigel Goddard
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Diagnosing problems and dealing with multiple output values
Diagnostics and Multiple Regression
From Nigel Goddard
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A probabilistic formulation of the linear model
A Probilistic View
From Nigel Goddard
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How we fit parameters for the linear model
Fitting Parameters
From Nigel Goddard
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The Linear Model and Examples
The Linear Model
From Nigel Goddard
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Preliminaries - perceptrons
Preliminaries - perceptrons
From Nigel Goddard
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Linear Regression Summary
Linear Regression Summary
From Nigel Goddard
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Feature Transformation
Feature Transformation
From Nigel Goddard
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A Probabilistic View
A Probabilistic View
From Nigel Goddard
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Problems with Outliers
Problems with Outliers
From Nigel Goddard
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Fitting the Linear Model to Data
Fitting the Linear Model to Data
From Nigel Goddard
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Linear Algebra Formulation
Linear Algebra Formulation
From Nigel Goddard
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Linear Regression Examples
Linear Regression Examples
From Nigel Goddard
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