Introduction to Math For Machine Learning Linear Discriminant Functions

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LDA is surprisingly simple and anyone can understand it. Here I avoid the complex We will cover classification models in which we estimate the probability distributions for the classes. We can then compute the ... Estimating_Linear_Discriminant_Functions #

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Summary & Highlights for Math For Machine Learning Linear Discriminant Functions

  • Lets learn about
  • See https://uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ...
  • Decision boundry, hyper plane, relation ship between no. of features and dimension of hyper plane, regions of different classes.
  • LDA (
  • Another way of thinking about a classifier's decision process is through

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