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Top Questions
49 votes

What should I do when my neural network doesn't generalize well?

neural-networks overfitting asked Sep 7 '18 at 9:12
stats.stackexchange.com

40 votes

Associate ipynb files with Jupyter notebook in Windows 10 (Anaconda)

windows anaconda jupyter-notebook jupyter asked Nov 13 '17 at 15:32
stackoverflow.com

34 votes

Which statistical model is being used in the Pfizer study design for vaccine efficacy?

bayesian power-analysis epidemiology clinical-trials relative-risk asked Nov 17 '20 at 10:14
stats.stackexchange.com

32 votes

What is it meant with the $\sigma$-algebra generated by a random variable?

probability random-variable sigma-algebra asked Nov 7 '17 at 15:45
stats.stackexchange.com

31 votes

Consequences of the Gaussian correlation inequality for computing joint confidence intervals

normal-distribution confidence-interval multivariate-normal asked Mar 29 '17 at 19:10
stats.stackexchange.com

27 votes

What are attention mechanisms exactly?

time-series deep-learning lstm rnn attention asked May 4 '18 at 17:20
stats.stackexchange.com

22 votes

Showing that 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects

mixed-model variance repeated-measures sample-size intraclass-correlation asked Jul 30 '17 at 18:17
stats.stackexchange.com

20 votes

Simplest way to delete a “composite” word?

cursor-motions normal-mode asked Nov 5 '18 at 10:00
vi.stackexchange.com

20 votes

Is it true that all computer chess programs can be forced into a three-fold repetition draw?

chess computers asked Jan 4 '20 at 11:14
boardgames.stackexchange.com

18 votes

Choosing between “Statistics” by Freedman et al., and “Statistical Models: Theory and Practice” by Freedman

references asked Oct 19 '17 at 15:48
stats.stackexchange.com

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Top Answers
64
CNN architectures for regression?
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54
What are the main theorems in Machine (Deep) Learning?
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42
What are variational autoencoders and to what learning tasks are they used?
stats.stackexchange.com

38
Why is the mean function in Gaussian Process uninteresting?
stats.stackexchange.com

26
Prediction interval for binomial random variable
stats.stackexchange.com

25
Should I teach Bayesian or frequentist statistics first?
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20
Beta distribution on flipping a coin
stats.stackexchange.com

19
Do Gaussian process (regression) have the universal approximation property?
stats.stackexchange.com

19
How large exactly is the mosasaurus in Jurassic World?
scifi.stackexchange.com

18
What should I do when my neural network doesn't learn?
stats.stackexchange.com

16
Why second order SGD convergence methods are unpopular for deep learning?
stats.stackexchange.com

15
Why is increasing the non-linearity of neural networks desired?
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14
What is a distribution over functions?
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14
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
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13
What should I do when my neural network doesn't generalize well?
stats.stackexchange.com

12
Gaussian process prediction interval
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11
How should I standardize input when fine-tuning a CNN?
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11
Bayesian updating - coin tossing example
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11
Multi-layer perceptron vs deep neural network
stats.stackexchange.com

10
What're the differences between PCA and autoencoder?
stats.stackexchange.com

9
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com

9
What is the essential difference between a neural network and nonlinear regression?
stats.stackexchange.com

9
Convolutional Neural Network Scale Sensitivity
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8
Compare the statistical significance of the difference between two polynomial regressions in R
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8
how to find the coefficient for the construction of the linear regression model (using Fourier )?
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8
Why not just dump the neural networks and deep learning?
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7
Criteria for choosing a mean function for a GP
stats.stackexchange.com

7
Can it be over fitting when validation loss and validation accuracy is both increasing?
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7
What are the current state-of-the-art convolutional neural networks?
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7
Do Autoencoders preserve distances?
stats.stackexchange.com

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