Introductory Applied Machine Learning
Introductory Applied Machine Learning
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From Nigel Goddard A year ago
1 1 likes | 1,230 1,230 viewsFeature Transforms and Radial Basis Functions -
Feature Transforms and Radial Basis Functions
Nigel Goddard A year ago1 1 likes | 1,230 1,230 views -
From Nigel Goddard A year ago
1 1 likes | 1,141 1,141 viewsDiagnosing problems and dealing with multiple output values -
From Nigel Goddard A year ago
0 0 likes | 1,103 1,103 viewsA probabilistic formulation of the linear model -
From Nigel Goddard A year ago
1 1 likes | 1,255 1,255 viewsHow we fit parameters for the linear model -
From Nigel Goddard A year ago
1 1 likes | 1,312 1,312 viewsThe Linear Model and Examples -
From Nigel Goddard 2 Years ago
1 1 likes | 857 857 viewsPreliminaries - perceptrons -
From Nigel Goddard 2 Years ago
0 0 likes | 133 133 viewsLinear Regression Summary -
From Nigel Goddard 2 Years ago
0 0 likes | 387 387 viewsFeature Transformation -
From Nigel Goddard 2 Years ago
0 0 likes | 444 444 viewsBasis Expansion -
From Nigel Goddard 2 Years ago
0 0 likes | 347 347 viewsMultiple Regression -
From Nigel Goddard 2 Years ago
0 0 likes | 402 402 viewsA Probabilistic View -
From Nigel Goddard 2 Years ago
0 0 likes | 352 352 viewsProblems with Outliers -
From Nigel Goddard 2 Years ago
0 0 likes | 444 444 viewsFitting the Linear Model to Data -
From Nigel Goddard 2 Years ago
1 1 likes | 392 392 viewsLinear Algebra Formulation -
From Nigel Goddard 2 Years ago
0 0 likes | 366 366 viewsLinear Regression Examples