User Chris

2 votes

How would you categorize / extract information out of job descriptions?

answered Dec 8, 2014 at 4:20

2 votes

What are the relation and differences between time series and linear regression?

answered Jul 20, 2018 at 3:35

2 votes

Measure that takes samples that is minimized in expectation for a uniformly-distributed random variable?

answered Dec 8, 2018 at 6:00

2 votes

Is it mandatory to subset your data to validate a model?

answered Dec 8, 2018 at 19:33

2 votes

how to use elastic net to select a set of features

answered Dec 11, 2018 at 3:48

2 votes

geometric mean and the normal distribution

answered Sep 16, 2021 at 0:28

1 vote

Accepted

Efficient way to evaluate an SVM classifier

answered Apr 19, 2020 at 3:10

1 vote

Transfer learning for regression problems?

answered Jun 11, 2019 at 2:17

1 vote

Why a set of highly correlated feature can sometimes perform better than low correlated feature on neural network?

answered Apr 9, 2020 at 4:28

1 vote

Interpreting and comparing linear and quadratic regression

answered Dec 4, 2018 at 2:48

1 vote

Classification when Learning is not Feasible

answered Dec 4, 2018 at 3:07

1 vote

Accepted

What does sign mean in this context?

answered Dec 6, 2018 at 23:31

1 vote

Iterated estimation of Taylor series

answered Dec 7, 2018 at 18:37

1 vote

Accepted

R: What is the distance function equivalent for this formula?

answered Dec 7, 2018 at 21:23

1 vote

Should one merge training and testing sets when predicting a class of a new sample?

answered Jul 20, 2018 at 3:57

1 vote

What the relation between a random variable and a sample (or dataset) in machine learning?

answered Jul 21, 2018 at 22:32

1 vote

Is generating training data for a classifier mathematically valid?

answered Aug 22, 2017 at 19:29

1 vote

Predicting column use in a table

answered Aug 22, 2017 at 20:51

0 votes

Multicollinearity and correlation in multiple regression

answered Aug 24, 2017 at 15:07

0 votes

What kind of forecasting model for this curve?

answered Jul 21, 2018 at 23:27

0 votes

Handling NAs in a regression ?? Data Flags?

answered Jul 22, 2018 at 21:14

0 votes

Is there any way to make the notion of a "policy" in reinforcement learning less abstract?

answered Jun 11, 2019 at 2:10

0 votes

Multi-Class Classification for Regression

answered Apr 19, 2020 at 3:02

0 votes

Optimizing hyperparameters of network with extremely long training time

answered Apr 9, 2020 at 4:24

0 votes

Why is my very simple random forest model still overfitting?

answered Apr 19, 2020 at 3:49

0 votes

Using SVM on datasets with different number of features

answered Apr 19, 2020 at 17:25

0 votes

Can I use spearman rho correlation test on these two variables?

answered Sep 16, 2021 at 0:44

0 votes

Comparing time series: Pearson correlation, Kendall's tau b or Spearman's rho?

answered Sep 16, 2021 at 1:24

-1 votes

What type of neuron values should we use for similarity functions when comparing two neural network representations?

answered Sep 16, 2021 at 0:47

-1 votes

Accepted

Find the pmf of a bivariate distribution when rolling a black and red four-sided die

answered Dec 12, 2014 at 17:12

Stack Exchange Network

30 Answers

How would you categorize / extract information out of job descriptions?

What are the relation and differences between time series and linear regression?

Measure that takes samples that is minimized in expectation for a uniformly-distributed random variable?

Is it mandatory to subset your data to validate a model?

how to use elastic net to select a set of features

geometric mean and the normal distribution

Efficient way to evaluate an SVM classifier

Transfer learning for regression problems?

Why a set of highly correlated feature can sometimes perform better than low correlated feature on neural network?

Interpreting and comparing linear and quadratic regression

Classification when Learning is not Feasible

What does sign mean in this context?

Iterated estimation of Taylor series

R: What is the distance function equivalent for this formula?

Should one merge training and testing sets when predicting a class of a new sample?

What the relation between a random variable and a sample (or dataset) in machine learning?

Is generating training data for a classifier mathematically valid?

Predicting column use in a table

Multicollinearity and correlation in multiple regression

What kind of forecasting model for this curve?

Handling NAs in a regression ?? Data Flags?

Is there any way to make the notion of a "policy" in reinforcement learning less abstract?

Multi-Class Classification for Regression

Optimizing hyperparameters of network with extremely long training time

Why is my very simple random forest model still overfitting?

Using SVM on datasets with different number of features

Can I use spearman rho correlation test on these two variables?

Comparing time series: Pearson correlation, Kendall's tau b or Spearman's rho?

What type of neuron values should we use for similarity functions when comparing two neural network representations?

Find the pmf of a bivariate distribution when rolling a black and red four-sided die