Coursera Machine Learning: Difference between revisions
From Federal Burro of Information
Jump to navigationJump to search
No edit summary |
No edit summary |
||
| Line 21: | Line 21: | ||
(x(i),y(i)) = one training example | (x(i),y(i)) = one training example | ||
h - hypothesis | |||
Revision as of 06:51, 9 November 2015
Administratia
Week 1
regression - continuous value output
classification - discrete value output
m - number of training example
x - input vars
y - output vars
(x,y) - one row of trianing
(x(i),y(i)) = one training example
h - hypothesis
