Introductory Applied Machine Learning
Introductory Applied Machine Learning
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From Nigel Goddard 9 Months ago
0 0 likes | 504 504 viewsFeature Transforms and Radial Basis Functions -
From Nigel Goddard 9 Months ago
0 0 likes | 475 475 viewsDiagnosing problems and dealing with multiple output values -
From Nigel Goddard 9 Months ago
0 0 likes | 462 462 viewsA probabilistic formulation of the linear model -
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0 0 likes | 525 525 viewsHow we fit parameters for the linear model -
From Nigel Goddard 9 Months ago
0 0 likes | 547 547 viewsThe Linear Model and Examples -
From Nigel Goddard A year ago
0 0 likes | 564 564 viewsPreliminaries - perceptrons -
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0 0 likes | 132 132 viewsLinear Regression Summary -
From Nigel Goddard A year ago
0 0 likes | 381 381 viewsFeature Transformation -
From Nigel Goddard A year ago
0 0 likes | 420 420 viewsBasis Expansion -
From Nigel Goddard A year ago
0 0 likes | 345 345 viewsMultiple Regression -
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0 0 likes | 399 399 viewsA Probabilistic View -
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0 0 likes | 352 352 viewsProblems with Outliers -
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0 0 likes | 442 442 viewsFitting the Linear Model to Data -
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1 1 likes | 389 389 viewsLinear Algebra Formulation -
From Nigel Goddard A year ago
0 0 likes | 361 361 viewsLinear Regression Examples