Machine Learning - Multiple features

• n - number of features (number of columns in the table)

• last column might be called y (the result)

• m - number of samples (number of rows)

• x(i) - row i, vector of values of a sample

• x(i, j) - the value of row i column j

• Also called "Multivariate linear regression"

• Gradient descent for Multiple features