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9 votes
2 answers
891 views

Interview question of biased coin

5 votes
1 answer
284 views

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

4 votes
1 answer
91 views

one dimension PLS

4 votes
1 answer
82 views

The last step of PLSR

4 votes
1 answer
69 views

how to generate state and reward in model free reinforcement Learning

4 votes
1 answer
92 views

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

4 votes
1 answer
212 views

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

4 votes
1 answer
166 views

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

3 votes
1 answer
320 views

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

3 votes
1 answer
82 views

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

2 votes
1 answer
44 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
2 answers
174 views

How to detect and remove the duplicate samples

2 votes
0 answers
234 views

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

2 votes
1 answer
113 views

How to understand the scaling in Metropolis Hastings MCMC

2 votes
1 answer
66 views

Numerically PCA implements SVD or SVD implements PCA

2 votes
2 answers
310 views

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

2 votes
0 answers
53 views

Compare the MSE between LASSO and OLS

2 votes
1 answer
1k views

why does Batch Normalization not work for RNN

2 votes
1 answer
42 views

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

2 votes
1 answer
69 views

probability interview questions of posterior probability of two unfair coins

2 votes
1 answer
726 views

How does PLSR solve Multicollinearity

2 votes
1 answer
78 views

should GBDT use the same loss functions for each weak learner

1 vote
0 answers
60 views

interview question use uniformly distribution {1,2,3,4,5} to generate {1,2,3,4,5,6,7} [duplicate]

1 vote
0 answers
258 views

Does LDA need normality assumption for its dimensionality reduction?

1 vote
2 answers
585 views

In Batch Normalization we normalize the test input every layers or only the first layer

1 vote
1 answer
62 views

Adaboost + SVM vs GBM + hange function of SVM

1 vote
0 answers
229 views

the $\beta$ and $R^2$ of combination of two simple linear regression

1 vote
1 answer
2k views

vanishing gradient and gradient zero

1 vote
0 answers
36 views

Why the prior distribution can be neglected compared with likelihood function in the posterior distribution when sample is large

1 vote
0 answers
444 views

limiting variance and asymptotic variance of the inverse sample mean