Lecture 2.3 | Bayesian Learning | Concept Learning | Bayes Optimal Classifier | Bayes theorem #mlt
Channel: Tech Master Edu
Date: 13/05/2023

In this machine learning tutorial, you'll learn about the concepts of Bayesian learning, concept learning, and the Bayes optimal classifier. Bayesian learning is a powerful statistical framework that allows us to make probabilistic predictions based on our prior knowledge and the data we observe. Concept learning is a key part of machine learning, where we aim to learn general concepts from specific examples. And the Bayes optimal classifier is a classification algorithm that uses Bayesian decision theory to make predictions.

In this video, we'll cover the following topics:
00:00 - Agenda
00:40 - Introduction to Bayesian learning and its applications
03:38 - Baye's Theorem
05:45 - Concept learning
09:50 - Bayes optimal classifier and how it works
17:00 - Example of Baye's optimal classifier

Complete Machine learning course :- https://www.youtube.com/playlist?list=PLu4yXgpA6Wg5HTUfU4xh8eN5E8hpmRCNK

Whether you're a beginner or an experienced data scientist, this tutorial will provide you with a solid understanding of these powerful statistical methods.

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