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Match Maker EE
  • Member for 4 years, 2 months
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11 votes

Handling missing data for a neural network

8 votes

Can't deep learning models now be said to be interpretable? Are nodes features?

7 votes
Accepted

How are artificially balanced datasets corrected for?

6 votes

Conditional Probability of Having Covid-19 Given Some Symptoms

6 votes

Why does the Akaike Information Criterion (AIC) sometimes favor an overfitted model?

4 votes

Predicting if some variable is $\geq C$?

3 votes
Accepted

When to preprocess data for neural network

3 votes

Should I use highly skewed features in my model?

3 votes
Accepted

Relationship between distribution and data generating process

3 votes

Relationship between overfitting and robustness to outliers

3 votes
Accepted

What are supervised learning and unsupervised learning from a connectionist point of view

3 votes
Accepted

Statistically compare neural network hyperparameter values

3 votes

How to extract relative importance of features from a tensorflow DNNRegressor model?

3 votes
Accepted

What is the formula to determine the sample size for machine learning models?

2 votes

MultiClass Classification - Training OvO and OvA

2 votes

Overfitting with Linear Classifiers

2 votes
Accepted

Neural network non binary output?

2 votes

semantic value of a convolution neural network

2 votes
Accepted

Expert Knowledge Acquisition and Machine learning

2 votes

Skills hard to find in machine learners?

2 votes
Accepted

Auto-encoders' learning process and overfitting

2 votes
Accepted

How to estimate the maximum value from a set of data with errors?

2 votes
Accepted

Use different Naive Bayes classifiers to target different data

2 votes

Sampling uncertainty of posterior probability distribution

2 votes

Interpretation of mutual information

2 votes

Estimation of measurement reliability

2 votes
Accepted

Which distribution to use in the following scenario?

2 votes
Accepted

Machine-learning technique to predict children's wealth

2 votes

Past price data has predictive power, it's not 50/50

2 votes

The Bayes' Theorem Components of the Probability Output of a Classifier