Mathematical Statistics. Lecture 13. Intro to Machine Learning: Naive Bayes
In Lecture 13 we introduce the Naive Bayes method of classification used in Machine Learning applications
Timeline:
00:00 Introduction
02:42 Conditional probability
06:17 Bayes rule
21:30 Independence of events
24:23 The idea of Naive Bayes
33:47 Estimation of probabilities
36:46 Example with one feature
48:15 Chain Rule
56:34 Independency assumption in Naive Bayes
59:00 Example with three features
1:11:46 Types of Naive Bayes
1:14:07 Conclusion
The course “Mathematical Statistics“ for the 2nd year bachelors in Economics
Taught at BRICS institute, Irkutsk National Research Technical University, Spring semester 2022
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