Introductory Applied Machine Learning
Introductory Applied Machine Learning
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From Nigel Goddard on October 1st, 2017
2 likes 2,061 playsFeature Transforms and Radial Basis Functions -
From Nigel Goddard on October 1st, 2017
2 likes 1,890 playsDiagnosing problems and dealing with multiple output values -
From Nigel Goddard on October 1st, 2017
0 likes 1,882 playsA probabilistic formulation of the linear model -
From Nigel Goddard on October 1st, 2017
1 likes 2,135 playsHow we fit parameters for the linear model -
From Nigel Goddard on October 1st, 2017
1 likes 2,108 playsThe Linear Model and Examples -
From Nigel Goddard on November 12th, 2016
1 likes 1,270 playsPreliminaries - perceptrons -
From Nigel Goddard on October 9th, 2016
0 likes 135 playsLinear Regression Summary -
From Nigel Goddard on October 9th, 2016
0 likes 389 playsFeature Transformation -
From Nigel Goddard on October 9th, 2016
0 likes 468 playsBasis Expansion -
From Nigel Goddard on October 9th, 2016
0 likes 349 playsMultiple Regression -
From Nigel Goddard on October 9th, 2016
0 likes 412 playsA Probabilistic View -
From Nigel Goddard on October 9th, 2016
0 likes 356 playsProblems with Outliers -
From Nigel Goddard on October 9th, 2016
0 likes 449 playsFitting the Linear Model to Data -
From Nigel Goddard on October 9th, 2016
1 likes 400 playsLinear Algebra Formulation -
From Nigel Goddard on October 9th, 2016
0 likes 379 playsLinear Regression Examples
