Gradient Descent, Linear Regression, Machine Learning.
this: (0-(0+1)) or -1. Here is why: we treat y and mx as constants again, so they become 0. b becomes 1. Put everything together: 2(y-(mx+b))*-1, or -2(y-(mx+b)) . Once again the proper notation would look like this: Partial derivative with respect to b Phew! The hardest part behind us, now we can