Monthly Archives: March 2017

Logistic Regression 2 – Cost Function, Gradient Descent and Other Optimization Algorithms

We have discussed the basic ideas of logistic regression in previous post.  The purpose of logistic regression is to find the optimal decision boundary which can classify the data with different categorical target feature into different classes.  We also introduced the logistic function or sigmoid function as the regression model to find the optimal decision… Read More »

Logistic Regression 1 – Classification, Logistic Regression and Sigmoid Function

In previous series of posts we discussed simple and multivariate linear regression that can be used to predict target features with continuous values.  Besides that, there are other prediction problems with categorical target features and we want to train a model so that we can use it to predict the class of unknown data.  Logistic… Read More »