User Dan

10 votes

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Why decision boundary is of (D-1) dimensions?

answered Jan 8, 2018 at 14:27

6 votes

What are the formulas for exponential, logarithmic, and polynomial trendlines?

answered Jan 26, 2015 at 13:15

4 votes

What is weights in perceptron

answered Jun 16, 2017 at 17:17

4 votes

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A guide to regularization strategies in regression

answered Jul 15, 2015 at 12:29

3 votes

Logistic Regression Vs SVM

answered Feb 19, 2018 at 10:58

2 votes

Why is it the case that when we try to fit an OLS model to a system with more variables than observations, that the residuals are zero?

answered Jan 27, 2015 at 16:03

2 votes

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Parabolic boundary with logistic regression

answered May 9, 2018 at 9:55

2 votes

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Train MSE becomes smaller then test mse when model becomes morgen complex

answered Aug 1, 2018 at 15:28

2 votes

Pre-Processing - Applied on all three (training/validation/test) sets?

answered Jan 4, 2018 at 16:10

1 vote

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Difference between fitting one predictor and many predictors in GLM

answered Jan 30, 2015 at 15:22

1 vote

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How to cope with scatter matrices of a lot of features?

answered Dec 28, 2017 at 10:20

1 vote

Deep belief networks: supervised or unsupervised?

answered Dec 28, 2017 at 12:22

1 vote

What is AUC (Area Under the Curve)?

answered Jan 4, 2018 at 12:24

1 vote

Why is there an intrinsic trade off between the probability of detection and probability of a false alarm in the operating characteristic?

answered Jan 11, 2016 at 15:03

1 vote

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Minimum numbers of observations for OLS (MLE) depending on number of parameters

answered Jan 15, 2018 at 11:10

1 vote

In a group of 12 scores, the largest score is increased by 36 points. What effect will this have on the mean of the scores?

answered Feb 12, 2018 at 10:19

0 votes

Kernel density estimation -Effect of bandwidth

answered Feb 16, 2018 at 14:41

0 votes

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Dropout and calculating values

answered Mar 28, 2018 at 8:32

0 votes

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Can I do regression without dependent variable?

answered Apr 8, 2018 at 19:30

0 votes

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biased random guess classification

answered Jan 27, 2015 at 12:26

0 votes

Do neural networks with binary output learn representations that are linearly separable?

answered Dec 4, 2018 at 14:46

Stack Exchange Network

21 Answers

Why decision boundary is of (D-1) dimensions?

What are the formulas for exponential, logarithmic, and polynomial trendlines?

What is weights in perceptron

A guide to regularization strategies in regression

Logistic Regression Vs SVM

Why is it the case that when we try to fit an OLS model to a system with more variables than observations, that the residuals are zero?

Parabolic boundary with logistic regression

Train MSE becomes smaller then test mse when model becomes morgen complex

Pre-Processing - Applied on all three (training/validation/test) sets?

Difference between fitting one predictor and many predictors in GLM

How to cope with scatter matrices of a lot of features?

Deep belief networks: supervised or unsupervised?

What is AUC (Area Under the Curve)?

Why is there an intrinsic trade off between the probability of detection and probability of a false alarm in the operating characteristic?

Minimum numbers of observations for OLS (MLE) depending on number of parameters

In a group of 12 scores, the largest score is increased by 36 points. What effect will this have on the mean of the scores?

Kernel density estimation -Effect of bandwidth

Dropout and calculating values

Can I do regression without dependent variable?

biased random guess classification

Do neural networks with binary output learn representations that are linearly separable?