User Robin Nicole

4 votes

How to force pytorch model to predict only positive values

answered Dec 12, 2018 at 20:40

3 votes

Accepted

Can you learn an algorithm from a trained model?

answered Dec 9, 2018 at 19:01

3 votes

Accepted

Which model to chose based on learning curve

answered Apr 26, 2019 at 10:27

2 votes

Accepted

How to turn linear regression into logistical regression

answered Feb 11, 2019 at 15:35

2 votes

Python: multiplication of sparse matrices slower in csr_matrix than numpy

answered Jul 3, 2019 at 16:42

2 votes

Accepted

How does personalized machine learning work?

answered Jul 7, 2019 at 9:52

2 votes

Similar objects same labels

answered Oct 5, 2019 at 23:03

1 vote

How does cost function change by choice of activation function (ReLU, Sigmoid, Softmax)?

answered Jul 7, 2019 at 10:00

1 vote

How to improve regex while fetching record dynamically

answered May 29, 2019 at 10:02

1 vote

Eliminating rows in a dataframe based on specific conditions

answered Jan 27, 2019 at 20:00

1 vote

Is the prediction algorithm absolutely the same for all linear classifiers?

answered Jan 31, 2019 at 23:24

1 vote

How to train a neural network model in python or any language that can train itself from a excel file and validate itself also from a excel file?

answered Feb 10, 2019 at 1:19

1 vote

Accepted

KL divergence in VAE

answered Dec 10, 2018 at 20:07

1 vote

What exactly is .csv in machine learning?

answered Dec 16, 2018 at 12:13

1 vote

Numpy element wise comparison for a particular value in two arrays

answered Jan 13, 2019 at 23:08

0 votes

Vectorized method to find matching values between two columns

answered Jan 13, 2019 at 23:21

0 votes

How does Q-Learning deal with mixed strategies?

answered Dec 20, 2018 at 22:29

0 votes

Accepted

How to write formula inside the loop to run this code in every hour continously in every day in panda python

answered Dec 11, 2018 at 9:37

0 votes

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What affects the magnitude of lasso penalty of a feature?

answered Dec 12, 2018 at 22:21

0 votes

Accepted

Vectorized method to find matching values between two columns

answered Dec 14, 2018 at 20:22

0 votes

Where/How to start?

answered Jan 27, 2019 at 20:12

0 votes

How do two perceptrons produce different linear decision boundaries?

answered Mar 2, 2019 at 23:47

0 votes

what do we actually study in machine learning?

answered Jul 22, 2019 at 9:32

-1 votes

What is advantage of using the theory of point processes instead of probability distribution functions?

answered Jan 24, 2019 at 22:55

Stack Exchange Network

24 Answers

How to force pytorch model to predict only positive values

Can you learn an algorithm from a trained model?

Which model to chose based on learning curve

How to turn linear regression into logistical regression

Python: multiplication of sparse matrices slower in csr_matrix than numpy

How does personalized machine learning work?

Similar objects same labels

How does cost function change by choice of activation function (ReLU, Sigmoid, Softmax)?

How to improve regex while fetching record dynamically

Eliminating rows in a dataframe based on specific conditions

Is the prediction algorithm absolutely the same for all linear classifiers?

How to train a neural network model in python or any language that can train itself from a excel file and validate itself also from a excel file?

KL divergence in VAE

What exactly is .csv in machine learning?

Numpy element wise comparison for a particular value in two arrays

Vectorized method to find matching values between two columns

How does Q-Learning deal with mixed strategies?

How to write formula inside the loop to run this code in every hour continously in every day in panda python

What affects the magnitude of lasso penalty of a feature?

Vectorized method to find matching values between two columns

Where/How to start?

How do two perceptrons produce different linear decision boundaries?

what do we actually study in machine learning?

What is advantage of using the theory of point processes instead of probability distribution functions?