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Top Questions
59 votes

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

neural-networks overfitting faq asked Sep 7, 2018 at 9:12
stats.stackexchange.com

51 votes

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

windows anaconda jupyter-notebook jupyter asked Nov 13, 2017 at 15:32
stackoverflow.com

41 votes

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

probability random-variable sigma-algebra asked Nov 7, 2017 at 15:45
stats.stackexchange.com

38 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, 2020 at 10:14
stats.stackexchange.com

32 votes

What are attention mechanisms exactly?

time-series deep-learning lstm rnn attention asked May 4, 2018 at 17:20
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, 2017 at 19:10
stats.stackexchange.com

23 votes

Debugging code in R Markdown

r debugging rmarkdown asked Mar 15, 2017 at 16:58
stackoverflow.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, 2017 at 18:17
stats.stackexchange.com

21 votes

Simplest way to delete a "composite" word?

cursor-motions normal-mode asked Nov 5, 2018 at 10:00
vi.stackexchange.com

21 votes

pip not installing modules

python numpy pip asked Nov 30, 2015 at 10:10
stackoverflow.com

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Top Answers
88
CNN architectures for regression?
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60
What are the main theorems in Machine (Deep) Learning?
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47
What are variational autoencoders and to what learning tasks are they used?
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43
Why is the mean function in Gaussian Process uninteresting?
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28
Prediction interval for binomial random variable
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26
What should I do when my neural network doesn't learn?
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25
Should I teach Bayesian or frequentist statistics first?
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22
Do Gaussian process (regression) have the universal approximation property?
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21
Why second order SGD convergence methods are unpopular for deep learning?
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21
Beta distribution on flipping a coin
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21
Why is increasing the non-linearity of neural networks desired?
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19
How large exactly is the mosasaurus in Jurassic World?
scifi.stackexchange.com

18
What should I do when my neural network doesn't generalize well?
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18
What're the differences between PCA and autoencoder?
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15
What is a distribution over functions?
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15
What is the essential difference between a neural network and nonlinear regression?
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15
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
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14
How should I standardize input when fine-tuning a CNN?
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12
Gaussian process prediction interval
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12
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com

11
Multi-layer perceptron vs deep neural network
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11
Bayesian updating - coin tossing example
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9
Convolutional Neural Network Scale Sensitivity
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9
how to find the coefficient for the construction of the linear regression model (using Fourier )?
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9
Do Autoencoders preserve distances?
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9
What are the best books to study Neural Networks from a purely mathematical perspective?
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8
Why not just dump the neural networks and deep learning?
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8
Why does VGG16 double number of features after each maxpooling layer?
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8
Confused in selecting the number of hidden layers and neurons in an MLP for a binary classification problem
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8
Compare the statistical significance of the difference between two polynomial regressions in R
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