User AnarKi

20 votes

2 answers

12k views

Covariance functions or kernels - what exactly are they?

asked Aug 6, 2016 at 11:54

9 votes

4 answers

962 views

Resources on Explainable AI

asked Jun 1, 2018 at 8:56

8 votes

1 answer

4k views

Generative models for time series simulation

asked May 17, 2017 at 13:48

5 votes

3 answers

1k views

Any algorithms better than polynomial regression

asked May 14, 2014 at 13:52

4 votes

2 answers

4k views

predicting x,y position using machine learning

asked Dec 2, 2016 at 18:32

2 votes

1 answer

2k views

conditioning for deep neural networks

asked Dec 11, 2019 at 12:42

2 votes

1 answer

3k views

Denormalizing Data

asked May 13, 2014 at 10:06

1 vote

0 answers

31 views

Estimating Gamma PDF parameters from data with negative increments

asked Sep 22, 2017 at 11:37

1 vote

1 answer

178 views

Advice on applying Machine learning for high dimentional datasets

asked Dec 10, 2017 at 18:14

1 vote

1 answer

2k views

Correlation coefficient for sets with non-linear correlation

asked Jun 4, 2014 at 14:30

1 vote

1 answer

72 views

Importance of Time Features

asked Jun 12, 2014 at 8:19

0 votes

0 answers

51 views

How to scale test data that might go beyond the scaling range of the train data

asked Apr 16, 2020 at 12:11

Stack Exchange Network

12 Questions

Covariance functions or kernels - what exactly are they?

Resources on Explainable AI

Generative models for time series simulation

Any algorithms better than polynomial regression

predicting x,y position using machine learning

conditioning for deep neural networks

Denormalizing Data

Estimating Gamma PDF parameters from data with negative increments

Advice on applying Machine learning for high dimentional datasets

Correlation coefficient for sets with non-linear correlation

Importance of Time Features

How to scale test data that might go beyond the scaling range of the train data