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
Model Representation And Hypothesis The aim of the supervised learning algorithm is to use the training Dataset and output a hypothesis function machine-learning andrew-ng
Supervised and Unsupervised Learning Supervised learning is the machine learning task of inferring a function from labeled training data machine-learning andrew-ng
Introduction to Machine Learning Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed machine-learning andrew-ng
Random Projection in Dimensionality Reduction The dimensions and distribution of random projections matrices are controlled so as to preserve the pairwise distances between any two samples of the dataset. concept machine-learning mathematics