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Top Questions
66
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
56
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
52
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
41
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
34
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
27
votes
Debugging code in R Markdown
r
debugging
rmarkdown
asked Mar 15, 2017 at 16:58
stackoverflow.com
23
votes
Simplest way to delete a "composite" word?
cursor-motions
normal-mode
asked Nov 5, 2018 at 10:00
vi.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, 2017 at 18:17
stats.stackexchange.com
22
votes
pip not installing modules
python
numpy
pip
asked Nov 30, 2015 at 10:10
stackoverflow.com
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Top Answers
99
CNN architectures for regression?
stats.stackexchange.com
63
What are the main theorems in Machine (Deep) Learning?
stats.stackexchange.com
56
What are variational autoencoders and to what learning tasks are they used?
stats.stackexchange.com
51
Why is the mean function in Gaussian Process uninteresting?
stats.stackexchange.com
30
Prediction interval for binomial random variable
stats.stackexchange.com
27
What should I do when my neural network doesn't learn?
stats.stackexchange.com
26
Why second order SGD convergence methods are unpopular for deep learning?
stats.stackexchange.com
26
Why is increasing the non-linearity of neural networks desired?
stats.stackexchange.com
25
Should I teach Bayesian or frequentist statistics first?
stats.stackexchange.com
23
Do Gaussian process (regression) have the universal approximation property?
stats.stackexchange.com
22
What should I do when my neural network doesn't generalize well?
stats.stackexchange.com
21
Beta distribution on flipping a coin
stats.stackexchange.com
20
What're the differences between PCA and autoencoder?
stats.stackexchange.com
20
What is the essential difference between a neural network and nonlinear regression?
stats.stackexchange.com
19
How large exactly is the mosasaurus in Jurassic World?
scifi.stackexchange.com
17
How should I standardize input when fine-tuning a CNN?
stats.stackexchange.com
17
What is a distribution over functions?
stats.stackexchange.com
16
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
stats.stackexchange.com
15
Gaussian process prediction interval
stats.stackexchange.com
12
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com
11
Multi-layer perceptron vs deep neural network
stats.stackexchange.com
11
Bayesian updating - coin tossing example
stats.stackexchange.com
10
Do Autoencoders preserve distances?
stats.stackexchange.com
10
Can it be over fitting when validation loss and validation accuracy is both increasing?
stats.stackexchange.com
10
Criteria for choosing a mean function for a GP
stats.stackexchange.com
9
Convolutional Neural Network Scale Sensitivity
stats.stackexchange.com
9
how to find the coefficient for the construction of the linear regression model (using Fourier )?
stats.stackexchange.com
9
Confused in selecting the number of hidden layers and neurons in an MLP for a binary classification problem
stats.stackexchange.com
9
What are the best books to study Neural Networks from a purely mathematical perspective?
stats.stackexchange.com
8
From a statistical perspective: Fourier transform vs regression with Fourier basis
stats.stackexchange.com
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