Introductory Applied Machine Learning
Introductory Applied Machine Learning
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From Nigel Goddard 6 Months ago
0 0 likes | 490 490 viewsFeature Transforms and Radial Basis Functions -
From Nigel Goddard 6 Months ago
0 0 likes | 470 470 viewsDiagnosing problems and dealing with multiple output values -
From Nigel Goddard 6 Months ago
0 0 likes | 460 460 viewsA probabilistic formulation of the linear model -
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0 0 likes | 523 523 viewsHow we fit parameters for the linear model -
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0 0 likes | 543 543 viewsThe Linear Model and Examples -
From Nigel Goddard A year ago
0 0 likes | 550 550 viewsPreliminaries - perceptrons -
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0 0 likes | 127 127 viewsLinear Regression Summary -
From Nigel Goddard A year ago
0 0 likes | 370 370 viewsFeature Transformation -
From Nigel Goddard A year ago
0 0 likes | 392 392 viewsBasis Expansion -
From Nigel Goddard A year ago
0 0 likes | 341 341 viewsMultiple Regression -
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0 0 likes | 396 396 viewsA Probabilistic View -
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0 0 likes | 349 349 viewsProblems with Outliers -
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0 0 likes | 439 439 viewsFitting the Linear Model to Data -
From Nigel Goddard A year ago
1 1 likes | 385 385 viewsLinear Algebra Formulation -
From Nigel Goddard A year ago
0 0 likes | 352 352 viewsLinear Regression Examples