Introduction to Survival Analysis The term survival time is used to describe the length of time until a specified event. The widespread use of these models in medicine to analyze survival times leads to the name survival analysis. machine-learning papers featured
Basics of Language Model Language modeling is used in speech recognition, machine translation, part-of-speech tagging, parsing, handwriting recognition, information retrieval and other applications. NLP machine-learning
Regularized Linear Regression Regularization is a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting machine-learning andrew-ng
Overfitting and Regularization Overfitting occurs when a model is excessively complex, such as having too many parameters relative to the number of observations machine-learning andrew-ng
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