Unit – III: Support Vector Machine- Bayesian Learning

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 Unit – III: Support Vector Machine- Bayesian Learning

Support Vector Machines:

1.     Introduction

2.     Linear Classifier

3.     Non-linear Classifier

4.     Training SVM

5.     Support Vector Regression

Bayesian Learning:

1.     Bayes theorem and concept learning

2.     Minimum Description Length Principle

3.     Bayes optimal classifier

4.     Gibbs Algorithm

5.     Naïve Bayes Classifier

6.     The EM algorithm

👉UNIT-3 (A) Support Vector Machine Notes

👉UNIT-3 (A) Support Vector Machine PPTs

👉SVM Program

👉Training SVM

👉Extra Info on SVM


 

 

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