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

Principal Component Analysis A mathematical procedure that transforms a number of (possibly) correlated variables into a (possibly smaller) number of uncorrelated variables called principal components. machine-learning andrew-ng

K-Means Clustering K-means clustering, a method from vector quantization, aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. machine-learning andrew-ng

Support Vector Machine A SVM is a discriminative classifier formally defined by a separating hyperplane. Given labeled training data, the algorithm outputs an optimal hyperplane which categorizes new examples. machine-learning andrew-ng

Error Metrics for Skewed Classes and Using Large Datasets The error metrics like mean-squared error do not work for highly imbalanced class. Also, why is it that using larger dataset is always advised? machine-learning andrew-ng

Docker for Machine Learning Developement Docker is a computer program that performs operating-system-level virtualization also known as containerization. It is developed by Docker, Inc. machine-learning library setup

Evaluation of Learning Algorithm Often it is hard to decide what is right and what is not in evaluating the effectiveness of an algorithm. Which step would should one try and evaluate among the heap of probable options that can help. machine-learning andrew-ng

How to train your Neural Network? Basic set of steps to follow while training a neural network. A lot of these are just recommendations. There are no rules in the world of neural networks. machine-learning andrew-ng

Backpropagation Implementation and Gradient Checking Approximate implementation of backpropagation without regularization using NumPy, and Gradient Checking for the Derivatives. machine-learning andrew-ng

Backpropagation Derivation The post delves into the mathematics of how backpropagation is defined. It has its roots in partial derivatives and is easily understandable andrew-ng machine-learning mathematics