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
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
The Normal Distribution The normal distribution, also known as the Gaussian or standard normal distribution, is the probability distribution that plots all of its values in a symmetrical fashion, and most of the results are situated around the probability's mean. concept mathematics probability
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
Continuous Random Variables A continuous random variable is a random variable where the data can take infinitely many values. mathematics probability