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What is the difference between explainable and interpretable machine learning?

answered Aug 26, 2020 at 3:39

2 votes

how do the number of classes in an object detection model affect accuracy?

answered Sep 1, 2020 at 15:59

2 votes

Accepted

Sir Rod Stewart's and Celine Dion's voice after 15 years i.e. Year 2035

answered Sep 29, 2020 at 14:39

2 votes

Actual problems in Data Science/Machine Learning connected with music

answered Oct 18, 2020 at 20:32

2 votes

Right Package for Federated Learning

answered Nov 14, 2020 at 19:31

1 vote

Confusion matrix, when mistakes below diagonal are better than above the diagonal

answered Jan 5, 2021 at 14:44

1 vote

Stamps detection using AI, Computer vision & Machine Learning technologies

answered Sep 4, 2020 at 18:20

1 vote

Machine learning algorithms for Geometrical objects shapes identification

answered Sep 22, 2020 at 15:02

1 vote

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Machine learning, speech recognition technologies for Sound of Animals interpretation

answered Sep 22, 2020 at 15:05

1 vote

Estimate the location of an object in a field using computer vision and math

answered Oct 31, 2020 at 10:11

1 vote

How is the Gaussian noise given to this BLSTM based GAN?

answered Aug 27, 2020 at 3:14

1 vote

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Is it bad to have a lot of one class of Data [K-NN classifier]?

answered Aug 26, 2020 at 20:29

1 vote

How do I draw the following Keras model?

answered Aug 26, 2020 at 20:53

1 vote

How to verify that a trained neural network is trustworthy?

answered Aug 27, 2020 at 8:46

1 vote

How to create these two plots from two arrays with numbers?

answered Aug 28, 2020 at 0:33

0 votes

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model selection in clustering

answered Aug 28, 2020 at 11:59

0 votes

Creating dataset - imbalanced or balanced?

answered Aug 29, 2020 at 0:22

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AttributeError: 'Functional' object has no attribute 'uses_learning_phase'

answered Aug 26, 2020 at 21:00

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When should I use normal Q learning over a DQN?

answered Aug 27, 2020 at 2:59

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Types of maps in Interpretable Machine Learning

answered Aug 27, 2020 at 7:20

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Instance segmentation performance depending on the number of classes

answered Aug 27, 2020 at 7:45

0 votes

How to increase model's test accuracy?

answered Sep 2, 2020 at 4:44

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Accuracy graph of binary classification by CNN

answered Nov 3, 2020 at 16:23

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Negative Feedback to GradCam method

answered Jan 18, 2021 at 15:58

Stack Exchange Network

25 Answers

What is the difference between explainable and interpretable machine learning?

how do the number of classes in an object detection model affect accuracy?

Sir Rod Stewart's and Celine Dion's voice after 15 years i.e. Year 2035

Actual problems in Data Science/Machine Learning connected with music

Right Package for Federated Learning

Confusion matrix, when mistakes below diagonal are better than above the diagonal

Stamps detection using AI, Computer vision & Machine Learning technologies

Machine learning algorithms for Geometrical objects shapes identification

Machine learning, speech recognition technologies for Sound of Animals interpretation

Estimate the location of an object in a field using computer vision and math

How is the Gaussian noise given to this BLSTM based GAN?

Is it bad to have a lot of one class of Data [K-NN classifier]?

How do I draw the following Keras model?

How to verify that a trained neural network is trustworthy?

How to create these two plots from two arrays with numbers?

model selection in clustering

Recommended Tutorial Videos or Books on Feature Engineering Using Python

Creating dataset - imbalanced or balanced?

AttributeError: 'Functional' object has no attribute 'uses_learning_phase'

When should I use normal Q learning over a DQN?

Types of maps in Interpretable Machine Learning

Instance segmentation performance depending on the number of classes

How to increase model's test accuracy?

Accuracy graph of binary classification by CNN

Negative Feedback to GradCam method