Multiclass Logistic Regression Application of logistic regression to multi-dimensional datasets. It is a generalization of the binary logistic regression. machine-learning andrew-ng
Logistic Regression Model Mathematics and Implementation of training a logistic regression model machine-learning andrew-ng
Classification and Logistic Regression Logistic regression, or logit regression, or logit model is a regression model where the dependent variable is categorical machine-learning andrew-ng
Normal Equation Given a matrix equation, the normal equation is one which minimizes the sum of the square differences between the left and right sides machine-learning mathematics andrew-ng
Multivariate Linear Regression When linear regression is applied on a higher-dimensional dataset, a generalization of linear regression is obtained machine-learning andrew-ng
Linear Algebra Review Linear algebra is the branch of mathematics concerning vector spaces and linear mappings between such spaces machine-learning mathematics andrew-ng
Gradient Descent for Linear Regression Application of gradient descent for optimization of a linear regression cost function and its comparison with normal equation method of finding solution machine-learning andrew-ng
Gradient Descent Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function machine-learning andrew-ng
Cost Function of Linear Regression Linear regression is a linear approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted X machine-learning andrew-ng