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
Congruence and Modular Arithmetic If two numbers have the property that their difference is integrally divisible by a number (i.e., is an integer), then they are said to be "congruent modulo". mathematics number-system what-is-mathematics
The Mysterious Primes Mathematicians have tried in vain to this day to discover some order in the sequence of prime numbers, a mystery into which the human mind will possibly never penetrate. mathematics number-system what-is-mathematics
Mathematical Induction Mathematical induction is a mathematical proof technique used to prove a given statement about any well-ordered set. mathematics number-system what-is-mathematics theorems
What is Number System ? A number system is a way to represent numbers. We are used to using the base-10 number system, which is also called decimal. mathematics number-system what-is-mathematics
Neural Networks: Cost Function and Backpropagation Intuition behind the idea of backpropagation and its extension to calculate cost function machine-learning andrew-ng
Neural Networks Intuition The relationship between logistic regression and neural networks. Explaination about how neural network is the logical successor of logistic regression machine-learning andrew-ng
Neural Networks Theory An Artificial Neural Network is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information machine-learning andrew-ng
Non-linear Hypotheses Advantages of neural networks over logistic regession and the relationship between the two. Neural network is essentially the successor of logistic regression. machine-learning andrew-ng
Regularized Logistic 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