Some basic concepts of machine learning

 Regression:

In mathematics, a given point set can be fitted with a curve. If the curve is a straight line, it is called linear regression. If the curve is a quadratic curve, it is called quadratic regression, and there are many variants of regression, such as locally weighted regression and logistic regression.

Training set or training data ):Input data, usually called X

Fitting functions (or assumptions or models ):Generally written as Y = h (x)

Dimensions of input data (number of features, # features ):N

Typical machine learning process:

 

Some basic concepts of machine learning