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user6703592
  • Member for 4 years, 7 months
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9 votes
2 answers
1k views

Interview question of biased coin

5 votes
1 answer
633 views

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

4 votes
1 answer
374 views

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

4 votes
1 answer
272 views

one dimension PLS

4 votes
1 answer
200 views

The last step of PLSR

4 votes
1 answer
116 views

how to generate state and reward in model free reinforcement Learning

4 votes
1 answer
3k views

vanishing gradient and gradient zero

4 votes
1 answer
3k views

how to understand Bootstrap t - method

4 votes
1 answer
155 views

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

4 votes
1 answer
524 views

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

3 votes
1 answer
742 views

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

3 votes
1 answer
1k views

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

3 votes
1 answer
2k views

How can RNNs handle inputs of dynamic length?

3 votes
1 answer
176 views

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

3 votes
0 answers
19 views

MCMC predict volatility with GARCH

2 votes
1 answer
104 views

relation between R-squared and sample size

2 votes
1 answer
265 views

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

2 votes
1 answer
42 views

Machine learning interview of incorrect claissification

2 votes
2 answers
332 views

How to detect and remove the duplicate samples

2 votes
0 answers
583 views

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

2 votes
1 answer
92 views

Numerically PCA implements SVD or SVD implements PCA

2 votes
2 answers
899 views

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

2 votes
1 answer
352 views

How to understand the scaling in Metropolis Hastings MCMC

2 votes
0 answers
93 views

Compare the MSE between LASSO and OLS

2 votes
1 answer
115 views

Adaboost + SVM vs GBM + hange function of SVM

2 votes
1 answer
146 views

should GBDT use the same loss functions for each weak learner

2 votes
1 answer
58 views

How does normalization of samples make the contour line of parameter be ball?

2 votes
1 answer
2k views

How does PLSR solve Multicollinearity

2 votes
1 answer
155 views

probability interview questions of posterior probability of two unfair coins

2 votes
0 answers
798 views

limiting variance and asymptotic variance of the inverse sample mean