Last active
December 31, 2019 00:13
-
-
Save panchishin/30ed942f6c7277410e9711693733a452 to your computer and use it in GitHub Desktop.
An example of machine learning from https://youtu.be/wUPFOFbCeFI
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
let ys_and_xs = [ [1, 3.8], [2, 1.9], [3, 2.9], | |
[4, 4.5], [5, 6.4], [6, 3.5], | |
[7, 6.7], [8, 6.2], [9, 8.0] ]; | |
function grade(a, b) { | |
let error = 0; | |
for ( [x,y] of ys_and_xs ) { | |
error += Math.pow( a*x + b - y , 2 ) | |
} | |
return error | |
} | |
function someChange() { | |
return Math.random() - .5 | |
} | |
let a = 1; | |
let b = 0; | |
let err = grade(a,b); | |
for( let i=0; i<100000; i++) { | |
let new_a = a + someChange() | |
let new_b = b + someChange() | |
let new_err = grade(new_a, new_b) | |
if ( new_err < err ) { | |
a = new_a | |
b = new_b | |
err = new_err | |
console.log("a =", a, ", b =", b) | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment