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Results tagged with regression
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user 261236
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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Is it always possible a closed form solution for a norm minimization problem? Which one is t...
As, we know that under-determined linear systems are having infinitely many solutions and we look for least norm solution via convex norm minimization constraint on the linear system. The underline no …
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The difference between total error, prediction error and fitted error via residual
Consider a regression model $Y=E(Y|X)+Prediction \ Error$ i.e $Prediction \ error = Y-E(Y|X)$. Now, define an estimate of the regression function $E(Y|X)=\hat{Y}+ Fitted \ error$ i.e. …
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Is it possible to explain regression or classification, interpolation and generation using a...
Further, double descent phenomenon in a neural network propagates the journey of regression to interpolation via interpolating point.
Is it possible to propagate it further to generation modelling? …
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Generalized linear model Gaussian distribution Linear Model
While, in regression problem, the using least square estimation, the prediction function happens to be a conditional expectation of the form $E(y|x)$. …
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Can we perform any machine learning modelling by using Neural Network?
As we know
Logistic regression can be performed by using neural network with single output node, no hidden layer and logistic activation function. … SoftMax regression can be performed by using neural network with multiple output nodes and SoftMax activation function. …
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