Tag Archives: BFGS

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 »