DOITJT的博客

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

Multivariate Linear Regression Notation xj(i)x^{(i)}_{j}xj(i)​ = value of feature j in the ithi^{th}ith training example x(i)x^{(i)}x(i) = the input (features) of the ithi^{th}ith training example Hypothesis Function hθ(x)=θ0+θ1x1+θ2x2+...+θnxnh_{\theta}(x

hhh

Classification vs. Regression Regression 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