Machine Learning - Multiple features

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• 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