User user6703592

9 votes

2 answers

1k views

Interview question of biased coin

asked Oct 4, 2020 at 13:43

5 votes

1 answer

727 views

heavier tails means that it is less sensitive to outlying data for logistic and probit

asked May 29, 2022 at 16:46

4 votes

1 answer

417 views

Why do we need Forward Selection, Forward Stagewise and LARS for solve linear regression

asked Apr 14, 2021 at 9:16

4 votes

1 answer

348 views

one dimension PLS

asked Jun 24, 2021 at 16:11

4 votes

1 answer

243 views

The last step of PLSR

asked Jun 28, 2021 at 8:11

4 votes

1 answer

122 views

how to generate state and reward in model free reinforcement Learning

asked Oct 12, 2020 at 20:23

4 votes

1 answer

4k views

vanishing gradient and gradient zero

asked Sep 30, 2020 at 5:42

4 votes

1 answer

4k views

how to understand Bootstrap t - method

asked Jul 29, 2019 at 16:36

4 votes

1 answer

168 views

Multiple dim responding variable the relation between CCA and trivial linear regression (PLSR, CCA, PCA, PCR and Linear Regression)

asked Oct 16, 2020 at 19:22

4 votes

1 answer

573 views

F-test: How to use type I error to compute type II error?

asked Mar 2, 2021 at 14:09

3 votes

1 answer

813 views

Why is using the mean and variance of entire training set impractical in batch normalization

asked Mar 24, 2021 at 18:51

3 votes

1 answer

1k views

What's the loss function of neutral network with a vector output?

asked Feb 24, 2021 at 17:47

3 votes

1 answer

2k views

How does PLSR solve Multicollinearity

asked Oct 16, 2020 at 9:14

3 votes

0 answers

892 views

limiting variance and asymptotic variance of the inverse sample mean

asked Feb 16, 2020 at 14:45

3 votes

1 answer

2k views

How can RNNs handle inputs of dynamic length?

asked Apr 6, 2021 at 6:36

3 votes

1 answer

198 views

interview questIon: what's the bias of y = $a(x+\epsilon) + b$ linear regression

asked Oct 17, 2021 at 18:52

3 votes

0 answers

26 views

MCMC predict volatility with GARCH

asked Jul 30, 2023 at 16:09

2 votes

1 answer

127 views

relation between R-squared and sample size

asked Apr 18, 2023 at 2:38

2 votes

1 answer

322 views

If a feature has already split, will it hardly be selected to split again in the subsequent tree in a Gradient Boosting Tree

asked Nov 4, 2021 at 19:01

2 votes

1 answer

45 views

Machine learning interview of incorrect claissification

asked Jun 1, 2022 at 10:31

2 votes

2 answers

346 views

How to detect and remove the duplicate samples

asked Jun 30, 2021 at 7:25

2 votes

0 answers

647 views

How does LSTM/RNN deal with the correlated samples and the samples with different lengths

asked Jul 2, 2021 at 4:10

2 votes

1 answer

97 views

Numerically PCA implements SVD or SVD implements PCA

asked Jun 12, 2021 at 6:35

2 votes

2 answers

1k views

How to deal with the problem of correlated samples from time series in machine learning

asked Jun 24, 2021 at 5:31

2 votes

1 answer

391 views

How to understand the scaling in Metropolis Hastings MCMC

asked Jul 19, 2021 at 11:58

2 votes

0 answers

100 views

Compare the MSE between LASSO and OLS

asked Aug 17, 2021 at 12:57

2 votes

1 answer

273 views

the approximation of the variance of MLE (Cramer-Rao Lower Bound)

asked Feb 16, 2020 at 16:33

2 votes

1 answer

30 views

How do we generate the samples of hidden root nodes in the Bayes network (Sigmoid Belief Networks) of a generative model

asked Jul 21, 2020 at 18:15

2 votes

1 answer

161 views

probability interview questions of posterior probability of two unfair coins

asked Nov 21, 2020 at 16:42

2 votes

1 answer

117 views

Adaboost + SVM vs GBM + hange function of SVM

asked Mar 31, 2021 at 18:58

Stack Exchange Network

67 Questions

Interview question of biased coin

heavier tails means that it is less sensitive to outlying data for logistic and probit

Why do we need Forward Selection, Forward Stagewise and LARS for solve linear regression

one dimension PLS

The last step of PLSR

how to generate state and reward in model free reinforcement Learning

vanishing gradient and gradient zero

how to understand Bootstrap t - method

Multiple dim responding variable the relation between CCA and trivial linear regression (PLSR, CCA, PCA, PCR and Linear Regression)

F-test: How to use type I error to compute type II error?

Why is using the mean and variance of entire training set impractical in batch normalization

What's the loss function of neutral network with a vector output?

How does PLSR solve Multicollinearity

limiting variance and asymptotic variance of the inverse sample mean

How can RNNs handle inputs of dynamic length?

interview questIon: what's the bias of y = $a(x+\epsilon) + b$ linear regression

MCMC predict volatility with GARCH

relation between R-squared and sample size

If a feature has already split, will it hardly be selected to split again in the subsequent tree in a Gradient Boosting Tree

Machine learning interview of incorrect claissification

How to detect and remove the duplicate samples

How does LSTM/RNN deal with the correlated samples and the samples with different lengths

Numerically PCA implements SVD or SVD implements PCA

How to deal with the problem of correlated samples from time series in machine learning

How to understand the scaling in Metropolis Hastings MCMC

Compare the MSE between LASSO and OLS

the approximation of the variance of MLE (Cramer-Rao Lower Bound)

How do we generate the samples of hidden root nodes in the Bayes network (Sigmoid Belief Networks) of a generative model

probability interview questions of posterior probability of two unfair coins

Adaboost + SVM vs GBM + hange function of SVM