algorithm

Brief Introduction to Generative Models To talk about generative models (v.s. discriminative models), we can first learn from this story: A father has two kids, Kid A and Kid B. Kid A has a special character whereas he can learn everything in depth. Kid B have a special character whereas he can only learn the differences between what he saw. One fine day, The father takes two of his kids (Kid A and Kid B) to a zoo....

Logistic regression is a very important binary classification algorithm, in this article, some essential details inside the algorithm will be discussed. Plain language will be used to discuss the most detail aspects so that beginners of machine learning can easily get the idea. Assumptions of Logistic Regression Logistic regression does not require as many assumptions as linear regression. There are a few that are interested and we will shortly discussed about....