Introductory Applied Machine Learning
Introductory Applied Machine Learning
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From Nigel Goddard A year ago
1 1 likes | 1,322 1,322 viewsFeature Transforms and Radial Basis Functions -
Feature Transforms and Radial Basis Functions
Nigel Goddard A year ago1 1 likes | 1,322 1,322 views -
From Nigel Goddard A year ago
1 1 likes | 1,208 1,208 viewsDiagnosing problems and dealing with multiple output values -
From Nigel Goddard A year ago
0 0 likes | 1,185 1,185 viewsA probabilistic formulation of the linear model -
From Nigel Goddard A year ago
1 1 likes | 1,350 1,350 viewsHow we fit parameters for the linear model -
From Nigel Goddard A year ago
1 1 likes | 1,385 1,385 viewsThe Linear Model and Examples -
From Nigel Goddard 2 Years ago
1 1 likes | 942 942 viewsPreliminaries - perceptrons -
From Nigel Goddard 2 Years ago
0 0 likes | 135 135 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 | 452 452 viewsBasis Expansion -
From Nigel Goddard 2 Years ago
0 0 likes | 347 347 viewsMultiple Regression -
From Nigel Goddard 2 Years ago
0 0 likes | 408 408 viewsA Probabilistic View -
From Nigel Goddard 2 Years ago
0 0 likes | 354 354 viewsProblems with Outliers -
From Nigel Goddard 2 Years ago
0 0 likes | 446 446 viewsFitting the Linear Model to Data -
From Nigel Goddard 2 Years ago
1 1 likes | 394 394 viewsLinear Algebra Formulation -
From Nigel Goddard 2 Years ago
0 0 likes | 372 372 viewsLinear Regression Examples