some terminology in learning theory.

A brief introduction of simplest classification implement: logistic regression

Linear regression is the basis of machine learning.
Basically, to compute the linear regression model, usually we will first look at the cost and try to minimize it. Gradient descent/ Follow the gradient is a general appraoch. And there are two slovers for the optimization problem: least square & normal equation.

markdown some useful git command from my experience in case…
including:
push your local branch to remote repo
build up our work after git clone others
add and commit when in the right branch