# Difference between revisions of "Machine Learning"

Jump to navigation
Jump to search

Line 1: | Line 1: | ||

Machine Learning | Machine Learning | ||

− | ==Loss | + | ==Loss functions== |

===(Mean) Squared Error=== | ===(Mean) Squared Error=== | ||

The squared error is:<br> | The squared error is:<br> |

## Revision as of 10:15, 10 November 2019

Machine Learning

## Loss functions

### (Mean) Squared Error

The squared error is:

If our model is linear regression then this is convex.

Proof

so the hessian is positive semi-definite

### Cross Entropy

The cross entropy loss is

- Notes

- If our model is where is the sigmoid function then this is convex

Proof