User patagonicus

12 votes

Why is correlation only defined between two variables?

answered Sep 16, 2022 at 21:38

7 votes

What does interpolating the training set actually mean?

answered Jun 24, 2021 at 8:17

6 votes

Accepted

mutual information and maximual infomation coffecient

answered Jun 21, 2021 at 9:52

6 votes

Comparing model evaluations of machine learning and statistics

answered Nov 5, 2021 at 23:04

6 votes

ALS vs SGD in parallelization

answered Aug 9, 2022 at 3:33

5 votes

Inferring Causal Direction

answered Feb 9, 2022 at 21:48

5 votes

Intutition of why Bootstrap aggregating reduces overfitting?

answered Jul 27, 2021 at 15:58

5 votes

Why are extreme correlations so common in this Monte Carlo simulation?

answered Oct 18, 2021 at 6:20

4 votes

What does $X=x|Y=y$ actually mean by itself?

answered Oct 3, 2021 at 18:33

4 votes

Marginalization over the nuisance variable

answered Jul 28, 2021 at 0:00

4 votes

Accepted

Understanding "Kalman Filter" intuitively

answered Jul 4, 2021 at 14:30

4 votes

Which comes first - domain expertise or an experimental approach?

answered Jan 2, 2022 at 14:28

4 votes

Accepted

What does it mean to have a "transient state" or a "transient phase" in an Ising model?

answered Sep 19, 2022 at 13:02

3 votes

The "Amazing Hidden Power" of Random Search?

answered Jan 21, 2022 at 5:49

3 votes

Parrondo's Paradox game using frequency instead of probability

answered Jul 3, 2021 at 21:57

3 votes

Can I enforce monotonically increasing neural net outputs (min, mean, max)?

answered Dec 13, 2021 at 21:17

3 votes

MOOC on Causal analysis - Recommendations for software engineer

answered Jul 10, 2021 at 19:47

3 votes

Model performance in time-series forecasting with some outliers

answered Aug 29, 2021 at 21:33

3 votes

Transfer Learning on Autoencoders?

answered Sep 17, 2021 at 6:26

3 votes

Architecture vs. Model Terminology

answered Oct 3, 2021 at 8:15

3 votes

Probability question - Bernoulli trials vs Binomial distribution

answered Jun 22, 2021 at 8:35

3 votes

Regression to the mean vs gambler's fallacy

answered Jun 20, 2021 at 9:02

3 votes

If machine learning, in general, is about ‘learning’ patterns, is it correct to say its branches differ based on the type of pattern being learnt?

answered Jun 16, 2021 at 11:16

3 votes

Accepted

Methods for comparing two different models on similar problem domains

answered Jun 18, 2021 at 4:31

3 votes

Deep Learning based time series forecasting

answered Jun 24, 2021 at 10:20

3 votes

Accepted

Reference Request- Summary of Common Loss Functions and their derivatives?

answered Jun 25, 2021 at 17:52

3 votes

Predicting time-to-failure using multiple failure datasets and time-series sensors data

answered Jun 30, 2021 at 13:16

3 votes

Accepted

Are VAE used for missing data imputation in multivariate time series? If not, what is used?

answered Jun 30, 2021 at 22:00

2 votes

Apply model for each variable or leave them as factor?

answered Jun 25, 2021 at 11:06

2 votes

How does repeated k-fold cross validation identify model instability?

answered Nov 6, 2021 at 22:18

Stack Exchange Network

79 Answers

Why is correlation only defined between two variables?

What does interpolating the training set actually mean?

mutual information and maximual infomation coffecient

Comparing model evaluations of machine learning and statistics

ALS vs SGD in parallelization

Inferring Causal Direction

Intutition of why Bootstrap aggregating reduces overfitting?

Why are extreme correlations so common in this Monte Carlo simulation?

What does $X=x|Y=y$ actually mean by itself?

Marginalization over the nuisance variable

Understanding "Kalman Filter" intuitively

Which comes first - domain expertise or an experimental approach?

What does it mean to have a "transient state" or a "transient phase" in an Ising model?

The "Amazing Hidden Power" of Random Search?

Parrondo's Paradox game using frequency instead of probability

Can I enforce monotonically increasing neural net outputs (min, mean, max)?

MOOC on Causal analysis - Recommendations for software engineer

Model performance in time-series forecasting with some outliers

Transfer Learning on Autoencoders?

Architecture vs. Model Terminology

Probability question - Bernoulli trials vs Binomial distribution

Regression to the mean vs gambler's fallacy

If machine learning, in general, is about ‘learning’ patterns, is it correct to say its branches differ based on the type of pattern being learnt?

Methods for comparing two different models on similar problem domains

Deep Learning based time series forecasting

Reference Request- Summary of Common Loss Functions and their derivatives?

Predicting time-to-failure using multiple failure datasets and time-series sensors data

Are VAE used for missing data imputation in multivariate time series? If not, what is used?

Apply model for each variable or leave them as factor?

How does repeated k-fold cross validation identify model instability?