Math For Machine Learning Linear Discriminant Functions

Summary

LDA is surprisingly simple and anyone can understand it. Here I avoid the complex See uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ... Estimating_Linear_Discriminant_Functions # We will cover classification models in which we estimate the probability distributions for the classes. We can then compute the ... Decision boundry, hyper plane, relation ship between no. of features and dimension of hyper plane, regions of different classes. Here we have discussed about linearly separable classes case and how can we separate the two classes by these Lecture 6 in the Introduction to How do you find the single best angle to separate two groups of data? Fisher's In this short video, we will be demonstrating through just visual animations, without any