User plpopk

4 votes

Is NN with no hidden layer is behave like a regression?

answered Aug 31, 2018 at 9:10

2 votes

Why positive-unlabeled learning?

answered Aug 16, 2018 at 5:27

2 votes

Which type of clustering algorithm to use to identify the "same" item in different data sets?

answered Aug 23, 2018 at 6:22

1 vote

I am getting very minimal mse values and not sure if it is correct?

answered Apr 21, 2020 at 7:26

1 vote

How to combine dictionary of word-forms into a single list without duplicates

answered Aug 16, 2018 at 2:16

1 vote

Accepted

Is a Neural Network with 20 times the number of input neurons (on hidden layers) guaranteed to overfit? When is this not so?

answered Sep 7, 2018 at 7:17

1 vote

Help with creating dimensions/features

answered Sep 13, 2018 at 8:35

1 vote

can machine learning/Deep learning used to minimize an objective function?

answered Aug 13, 2018 at 10:01

1 vote

using unsupervised learning algorithms on images

answered Aug 14, 2018 at 5:31

1 vote

Decision tree where identical set of features results in different outcomes

answered Aug 15, 2018 at 1:51

0 votes

How can I find anomalies in each row of data?

answered Aug 15, 2018 at 8:53

0 votes

Accuracy differs between MATLAB and scikit-learn for a decision tree

answered Jan 28, 2019 at 1:59

0 votes

Binary Classification Comparing two time series of variable length

answered Apr 21, 2020 at 7:46

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13 Answers

Is NN with no hidden layer is behave like a regression?

Why positive-unlabeled learning?

Which type of clustering algorithm to use to identify the "same" item in different data sets?

I am getting very minimal mse values and not sure if it is correct?

How to combine dictionary of word-forms into a single list without duplicates

Is a Neural Network with 20 times the number of input neurons (on hidden layers) guaranteed to overfit? When is this not so?

Help with creating dimensions/features

can machine learning/Deep learning used to minimize an objective function?

using unsupervised learning algorithms on images

Decision tree where identical set of features results in different outcomes

How can I find anomalies in each row of data?

Accuracy differs between MATLAB and scikit-learn for a decision tree

Binary Classification Comparing two time series of variable length