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All Blog Posts Tagged 'GLM' (2)

Who cares if unsupervised machine learning is supervised learning in disguise?

Previously, we saw how unsupervised learning actually has built-in supervision, albeit hidden from the user.

In this post we will see how supervised and unsupervised learning algorithms share more in common than the textbooks would suggest. As a matter of fact, both classes can use identical…

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Added by Danko Nikolic on September 23, 2018 at 1:34pm — No Comments

Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful

There is no need to get confused with multiple linear regression, generalized linear model or general linear methods. The general linear model or multivariate regression model is a statistical linear model and is written as Y = XB + U.





Usually, a linear model includes a number of different statistical models such as ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test. The GLM is a generalization of multiple…

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Added by Chirag Shivalker on November 2, 2017 at 11:30pm — 1 Comment

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