User pythinker

5 votes

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which deep learning text classifier is good for health data

answered May 30, 2018 at 19:43

4 votes

Advantages of Recurrent Neural Networks over basic Artificial Neural Networks

answered May 25, 2018 at 16:39

4 votes

Inverse Relationship Between Precision and Recall

answered Apr 11, 2019 at 12:31

4 votes

Categorical vs continuous feature selection/engineering

answered Apr 12, 2019 at 11:29

3 votes

How can I improve the accuracy of my confusion matrix to 100%?

answered Apr 11, 2019 at 7:05

3 votes

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Why use two LSTM layers one after another?

answered Aug 12, 2018 at 17:12

3 votes

Zero Mean and Unit Variance

answered May 24, 2018 at 17:11

2 votes

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Mixture Density Network: determine the parameters of each Gaussian component

answered Aug 6, 2018 at 22:33

2 votes

Why did Logistic regression perform better than svm?

answered Apr 10, 2019 at 14:52

2 votes

Standardise AND Normalise

answered Apr 11, 2019 at 10:45

2 votes

is it possible determine a best neural network classifier by considering only accuracy

answered Apr 11, 2019 at 11:15

2 votes

Machine Learning/Text Analysis/Algorithm Pointers

answered May 24, 2018 at 15:52

1 vote

It seem that the textbook "Machine Learning - A Probabilistic Perspective" uses input and output in a opposite way, is it?

answered Sep 29, 2019 at 4:43

1 vote

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Having averaged trials which are less than the number of features

answered Apr 10, 2019 at 17:00

1 vote

loss/val_loss are decreasing but accuracies are the same in LSTM!

answered Apr 11, 2019 at 10:09

1 vote

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How to auto tag texts

answered Aug 18, 2018 at 5:48

1 vote

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Difference between train, test split before preprocessing and after preprocessing

answered Apr 6, 2019 at 18:45

1 vote

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logistic regression : highly sensitive model

answered Apr 6, 2019 at 19:06

1 vote

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Choosing k value in KNN classifier?

answered Apr 8, 2019 at 19:39

1 vote

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Looking for other opinions on approach to classification problem

answered Apr 8, 2019 at 20:22

1 vote

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What are the criteria for updating bias values in back propagation?

answered Apr 9, 2019 at 5:27

1 vote

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How to cluster text-based software requirements

answered Apr 9, 2019 at 17:06

1 vote

Interpreting coefficients after transforming Y (dependent) variable

answered Apr 9, 2019 at 17:48

1 vote

How to give importance to recent data in a large dataset

answered Aug 8, 2018 at 6:44

1 vote

HMMLearn Predict Next Observed Event

answered Aug 10, 2018 at 21:09

1 vote

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How do Bayesian methods in machine learning help with the problem of limited data? Can this be used for image classification?

answered Jun 1, 2018 at 14:10

1 vote

How each layer of a neural net is responsible for one feature

answered Jun 5, 2018 at 19:38

1 vote

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How can I compare classes from clusterings performed on two different data sets?

answered Aug 6, 2018 at 12:24

1 vote

Feature extraction in time series data as input variables for machine learning algorithms

answered May 25, 2018 at 18:37

1 vote

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How to check if audio samples have only noise or are silent?

answered May 29, 2018 at 18:36

Stack Exchange Network

40 Answers

which deep learning text classifier is good for health data

Advantages of Recurrent Neural Networks over basic Artificial Neural Networks

Inverse Relationship Between Precision and Recall

Categorical vs continuous feature selection/engineering

How can I improve the accuracy of my confusion matrix to 100%?

Why use two LSTM layers one after another?

Zero Mean and Unit Variance

Mixture Density Network: determine the parameters of each Gaussian component

Why did Logistic regression perform better than svm?

Standardise AND Normalise

is it possible determine a best neural network classifier by considering only accuracy

Machine Learning/Text Analysis/Algorithm Pointers

It seem that the textbook "Machine Learning - A Probabilistic Perspective" uses input and output in a opposite way, is it?

Having averaged trials which are less than the number of features

loss/val_loss are decreasing but accuracies are the same in LSTM!

How to auto tag texts

Difference between train, test split before preprocessing and after preprocessing

logistic regression : highly sensitive model

Choosing k value in KNN classifier?

Looking for other opinions on approach to classification problem

What are the criteria for updating bias values in back propagation?

How to cluster text-based software requirements

Interpreting coefficients after transforming Y (dependent) variable

How to give importance to recent data in a large dataset

HMMLearn Predict Next Observed Event

How do Bayesian methods in machine learning help with the problem of limited data? Can this be used for image classification?

How each layer of a neural net is responsible for one feature

How can I compare classes from clusterings performed on two different data sets?

Feature extraction in time series data as input variables for machine learning algorithms

How to check if audio samples have only noise or are silent?