User qwr

10 votes

Accepted

Why use matrix transpose in gradient descent?

answered Mar 19, 2018 at 4:51

7 votes

What is the intuitive meaning of having a linear relationship between the logs of two variables?

answered Mar 27, 2019 at 1:05

7 votes

Bayesian and frequentist reasoning in plain English

answered Nov 5, 2020 at 22:11

4 votes

How could stochastic gradient descent save time compared to standard gradient descent?

answered Sep 20, 2022 at 5:05

2 votes

Chi-square test or Z-test for comparing two proportions?

answered May 29 at 21:33

2 votes

Is a model fitted to data or is data fitted to a model?

answered Mar 24, 2019 at 21:34

2 votes

Hamming and Manhattan distances

answered Feb 26, 2022 at 0:23

2 votes

What are the differences between "Marginal Probability Distribution" and "Conditional Probability Distribution"?

answered Aug 31, 2020 at 4:59

2 votes

Textbook on the theory of neural nets/ML algorithms?

answered Apr 29, 2018 at 22:12

1 vote

Are heat maps "one of the least effective types of data visualization"?

answered Oct 2, 2018 at 21:00

1 vote

when is the expectation of absolute value of X equal to the expectation of X?

answered Sep 22, 2020 at 23:23

1 vote

Statistically compare two large continuous datasets

answered Apr 19, 2022 at 2:13

1 vote

Do neural networks create a separating hyperplane?

answered Aug 25, 2022 at 4:07

1 vote

Does zero training error mean zero bias?

answered May 5, 2021 at 0:31

1 vote

Is it appropriate to report the mean, standard deviation and coefficient of variation for binary measurements?

answered Jul 8, 2021 at 22:09

1 vote

How to generate 95% prediction interval around predictions from ML model?

answered Jul 15 at 22:48

0 votes

Accepted

Difference between NN weights/inputs/outputs from [0,1] and [-1,1]?

answered Oct 19, 2023 at 20:46

0 votes

How do I add a bias term to my neural net?

answered Oct 19, 2023 at 20:50

0 votes

Normalization of dummy variables

answered May 15 at 16:35

0 votes

Relation between overfitting and Bias-variance tradeoff

answered Mar 11, 2021 at 3:43

0 votes

Closed form equations for simple linear regression estimators

answered Apr 6, 2022 at 7:09

0 votes

Given the distribution of a variable X, what is the distribution of f(X)?

answered Oct 2, 2020 at 4:38

0 votes

Linear regression when Y is bounded and discrete

answered Mar 5, 2019 at 5:45

0 votes

Bias-variance tradeoff associated with cross validation methods

answered Mar 5, 2019 at 5:58

Stack Exchange Network

24 Answers

Why use matrix transpose in gradient descent?

What is the intuitive meaning of having a linear relationship between the logs of two variables?

Bayesian and frequentist reasoning in plain English

How could stochastic gradient descent save time compared to standard gradient descent?

Chi-square test or Z-test for comparing two proportions?

Is a model fitted to data or is data fitted to a model?

Hamming and Manhattan distances

What are the differences between "Marginal Probability Distribution" and "Conditional Probability Distribution"?

Textbook on the theory of neural nets/ML algorithms?

Are heat maps "one of the least effective types of data visualization"?

when is the expectation of absolute value of X equal to the expectation of X?

Statistically compare two large continuous datasets

Do neural networks create a separating hyperplane?

Does zero training error mean zero bias?

Is it appropriate to report the mean, standard deviation and coefficient of variation for binary measurements?

How to generate 95% prediction interval around predictions from ML model?

Difference between NN weights/inputs/outputs from [0,1] and [-1,1]?

How do I add a bias term to my neural net?

Normalization of dummy variables

Relation between overfitting and Bias-variance tradeoff

Closed form equations for simple linear regression estimators

Given the distribution of a variable X, what is the distribution of f(X)?

Linear regression when Y is bounded and discrete

Bias-variance tradeoff associated with cross validation methods