[Machine Learning] Multivariate Linear Regeression

Linear regression with multiple variables is also known as "multivariate linear regression".

We now introduce notation for equations where we can have any number of input variables.

The multivariable form of the hypothesis function accommodating these multiple features is as follows:

We can convert this formula to:

h(x) = thata(0)x0 + theta(1)x(1) ....

And we set x0 = 1,

therefore we can convert into vector formula: