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252 votes

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What is the difference between convolutional neural networks, restricted Boltzmann machines, and auto-encoders?

answered Sep 29, 2014 at 13:45

55 votes

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Step-by-step example of reverse-mode automatic differentiation

answered Sep 19, 2016 at 14:27

12 votes

Julia: Taking stock of how it has been doing

answered Aug 27, 2015 at 14:26

7 votes

Correlation using Logistic Regression and Pearson

answered Aug 26, 2014 at 10:18

6 votes

What algorithm could be used to predict consumables usage given data from past purchases?

answered Nov 14, 2011 at 23:52

3 votes

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Estimating standard error of parameters of linear model fitted using gradient descent

answered Nov 19, 2014 at 14:27

3 votes

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does sklearn rbm scale well with sparse high dimensional features

answered Jul 27, 2015 at 10:28

3 votes

What is an Artificial Neural Network?

answered Aug 16, 2018 at 22:16

2 votes

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Natural language processing application in algorithmic trading and sports betting

answered Jan 12, 2012 at 3:15

1 vote

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Lemonade consumption forecast

answered Dec 15, 2011 at 22:50

1 vote

Good sources to get papers in machine learning?

answered Oct 2, 2014 at 16:53

1 vote

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Best ML technique to identify customer records that were duplicated within the system

answered Aug 3, 2020 at 12:20

Stack Exchange Network

12 Answers

What is the difference between convolutional neural networks, restricted Boltzmann machines, and auto-encoders?

Step-by-step example of reverse-mode automatic differentiation

Julia: Taking stock of how it has been doing

Correlation using Logistic Regression and Pearson

What algorithm could be used to predict consumables usage given data from past purchases?

Estimating standard error of parameters of linear model fitted using gradient descent

does sklearn rbm scale well with sparse high dimensional features

What is an Artificial Neural Network?

Natural language processing application in algorithmic trading and sports betting

Lemonade consumption forecast

Good sources to get papers in machine learning?

Best ML technique to identify customer records that were duplicated within the system