User Yurii

29 votes

Why to optimize max log probability instead of probability

answered Sep 28, 2015 at 8:50

10 votes

Accepted

Why the error on a training set is decreasing, while the error on the validation set is increasing?

answered Nov 29, 2015 at 13:25

9 votes

Accepted

Multiple regression - how to calculate the predicted value after feature normalization?

answered Nov 30, 2015 at 7:55

8 votes

Accepted

Feature scaling (normalization) in multiple regression analysis with normal equation method?

answered Dec 8, 2015 at 8:27

4 votes

Accepted

What to do if number of features is much larger than number of observations?

answered Nov 26, 2015 at 9:20

3 votes

Accepted

probability of 10 heads from 1000 coin tosses

answered Nov 23, 2015 at 9:30

2 votes

What is so mysterious about machine learning?

answered Dec 4, 2015 at 7:18

2 votes

What is the mathematical symbol for a predicted value?

answered Feb 4, 2016 at 4:29

1 vote

Multivariate time series Euclidean distance

answered Dec 4, 2015 at 9:20

1 vote

Equal sampling for machine learning

answered Dec 4, 2015 at 13:08

1 vote

Handling large amount of missing values in categorical variables.

answered Nov 29, 2015 at 19:47

1 vote

Number of neurons in output layer NeuralNetwork

answered Nov 23, 2015 at 13:01

1 vote

Hidden layers in neural network

answered Nov 24, 2015 at 15:55

1 vote

Accepted

How to control trade-off between precision and recall?

answered Nov 25, 2015 at 9:39

0 votes

Classification with increasing number of classes

answered Sep 28, 2015 at 9:25

0 votes

Accepted

Calculating gradient of a function for optimization

answered Nov 1, 2015 at 14:16

0 votes

Accepted

How can I deal two class classification problem when one class have only .02 percent of all data sample?

answered Nov 23, 2015 at 8:03

0 votes

Subset of training set produces good results while full training set produces poor results

answered Nov 29, 2015 at 10:50

0 votes

What it mean by Training SVM

answered Feb 7, 2016 at 11:02

0 votes

crossvalidation for forecasting sales

answered Dec 9, 2015 at 11:38

0 votes

How is the training set called when using a validation set?

answered Dec 29, 2015 at 11:31

-1 votes

Classification with unknown class

answered Sep 28, 2015 at 9:17

Stack Exchange Network

22 Answers

Why to optimize max log probability instead of probability

Why the error on a training set is decreasing, while the error on the validation set is increasing?

Multiple regression - how to calculate the predicted value after feature normalization?

Feature scaling (normalization) in multiple regression analysis with normal equation method?

What to do if number of features is much larger than number of observations?

probability of 10 heads from 1000 coin tosses

What is so mysterious about machine learning?

What is the mathematical symbol for a predicted value?

Multivariate time series Euclidean distance

Equal sampling for machine learning

Handling large amount of missing values in categorical variables.

Number of neurons in output layer NeuralNetwork

Hidden layers in neural network

How to control trade-off between precision and recall?

Classification with increasing number of classes

Calculating gradient of a function for optimization

How can I deal two class classification problem when one class have only .02 percent of all data sample?

Subset of training set produces good results while full training set produces poor results

What it mean by Training SVM

crossvalidation for forecasting sales

How is the training set called when using a validation set?

Classification with unknown class