User patagonicus

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Recommend similar users (instead of items) with collaborative filtering

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How to use Activation Functions in Quantized Nerual Networks?

answered May 29 at 21:00

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Why do we use loss functions to estimate a model instead of evaluation metrics like accuracy?

answered Nov 23, 2022 at 18:54

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Difference between Epoch-greedy and Epsilon-Greedy algorithm for contextual bandits

answered Oct 3, 2022 at 1:26

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Is a model fitted to data or is data fitted to a model?

answered Oct 1, 2022 at 15:19

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

answered Sep 19, 2022 at 13:02

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Why is correlation only defined between two variables?

answered Sep 16, 2022 at 21:38

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Is there academic research on how to choose the number of layers and neurons in a neural network?

answered Aug 23, 2022 at 19:35

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ALS vs SGD in parallelization

answered Aug 9, 2022 at 3:33

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Does using grid search for hyperparemeters make test set redundant?

answered May 22, 2022 at 9:37

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Inferring Causal Direction

answered Feb 9, 2022 at 21:48

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The "Amazing Hidden Power" of Random Search?

answered Jan 21, 2022 at 5:49

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How does neural network learn feature functions?

answered Jan 18, 2022 at 15:42

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Adam optimizer with distributed training

answered Jan 18, 2022 at 11:10

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What is the difference between network sparsification and model pruning

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Effects of class imbalance on neural network weights

answered Jan 13, 2022 at 21:27

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When is a model high-dimensional?

answered Jan 12, 2022 at 0:43

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Confusion about the training procedure while using transfer learning

answered Jan 2, 2022 at 17:58

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Which comes first - domain expertise or an experimental approach?

answered Jan 2, 2022 at 14:28

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Many science fields have shifted the focus from a more theoretical study of statistics to a more data-based focus. How about econometrics?

answered Jan 1, 2022 at 12:04

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Can weak-learner be defined in the case of regression problem?

answered Jan 1, 2022 at 11:10

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Calculating optimal number of bins in a histogram

answered Dec 31, 2021 at 13:53

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Metropolis Ergodicity

answered Dec 30, 2021 at 15:56

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

answered Dec 13, 2021 at 21:17

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

answered Nov 6, 2021 at 22:18

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Comparing model evaluations of machine learning and statistics

answered Nov 5, 2021 at 23:04

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Recommendations for non-technical yet deep articles in statistics

answered Oct 24, 2021 at 10:48

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Are all simulation methods some form of Monte Carlo?

answered Oct 18, 2021 at 15:49

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

answered Oct 18, 2021 at 6:20

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Distributional Assumptions in Machine Learning

answered Oct 17, 2021 at 12:10

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80 Answers

Recommend similar users (instead of items) with collaborative filtering

How to use Activation Functions in Quantized Nerual Networks?

Why do we use loss functions to estimate a model instead of evaluation metrics like accuracy?

Difference between Epoch-greedy and Epsilon-Greedy algorithm for contextual bandits

Is a model fitted to data or is data fitted to a model?

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

Why is correlation only defined between two variables?

Is there academic research on how to choose the number of layers and neurons in a neural network?

ALS vs SGD in parallelization

Does using grid search for hyperparemeters make test set redundant?

Inferring Causal Direction

The "Amazing Hidden Power" of Random Search?

How does neural network learn feature functions?

Adam optimizer with distributed training

What is the difference between network sparsification and model pruning

Effects of class imbalance on neural network weights

When is a model high-dimensional?

Confusion about the training procedure while using transfer learning

Which comes first - domain expertise or an experimental approach?

Many science fields have shifted the focus from a more theoretical study of statistics to a more data-based focus. How about econometrics?

Can weak-learner be defined in the case of regression problem?

Calculating optimal number of bins in a histogram

Metropolis Ergodicity

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

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

Comparing model evaluations of machine learning and statistics

Recommendations for non-technical yet deep articles in statistics

Are all simulation methods some form of Monte Carlo?

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

Distributional Assumptions in Machine Learning