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Matrices and Vectors Matrices 2-dimensional arraysDimension = num row * num colA (ij) refers to the element in the ith row and jth column of matrix A Vectors 1-diomenstional arrays with one column and many rowsA vector with 'n' rows is refe

Multivariate Linear RegressionNotationxj(i)x^{(i)}_{j}xj(i)​ = value of feature j in the ithi^{th}ith training examplex(i)x^{(i)}x(i) = the input (features) of the ithi^{th}ith training exampleHypothesis Functionhθ(x)=θ0+θ1x1+θ2x2+...+θnxnh_{\theta}(x

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Classification vs. RegressionRegression can take continuous output values, while classification can only take discrete values. (0,1,etc.)Binary classification problems have output values 0 or 1.Use linear regression and map all predictions greater th