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12:16 Fitting Parameters Fitting Parameters	Fitting Parameters How we fit parameters for the linear model multiplying thoroughbred racehorses dot product loss functions caption complete inverse dimensions parameters 1st column matrices column internet search engines training instance 2017 scientific method analytic geometry function iaml product statistical terminology data points transpose practice component dimensional case vectors estimate equations matrix top row abstract algebra input features minimize linear algebra constraint linear regression geometry points model statistical models effects From Nigel Goddard on October 1st, 2017 1 likes 1,890 plays 0 Licence Type Creative Commons - Attribution
04:54 Two-Class Linear Classifier Two-Class Linear Classifier	Two-Class Linear Classifier Two-Class Linear Classifier promises probability point learning caption complete lessons discriminate classification parameters decision boundary logistic regression instance iso basic latin letters previous function iaml linear extend normal effects decide russian probabilistic class statistical classification remember classified correspond greater logistic problem classifier From Nigel Goddard on September 8th, 2016 0 likes 2,053 plays 0 Licence Type Creative Commons - Attribution

12:16

Fitting Parameters

How we fit parameters for the linear model

From Nigel Goddard on October 1st, 2017 1 likes 1,890 plays 0

Licence Type

Creative Commons - Attribution

04:54

Two-Class Linear Classifier

From Nigel Goddard on September 8th, 2016 0 likes 2,053 plays 0

Licence Type

Creative Commons - Attribution

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