This course covers the fundamentals of probability, including Bayes Theorem, Hidden Markov Models, Shannon Entropy, Information Gain, Naive Bayes classifier, Beta distribution, and Thompson sampling. Students will learn how to apply these concepts in practical scenarios. The teaching method involves a friendly and approachable explanation of complex topics. This course is suitable for individuals interested in understanding probability and its applications in various fields.
Overview
Syllabus
A friendly introduction to Bayes Theorem and Hidden Markov Models.
Shannon Entropy and Information Gain.
Naive Bayes classifier: A friendly approach.
The Beta distribution in 12 minutes!.
Thompson sampling, one armed bandits, and the Beta distribution.
Taught by
Serrano.Academy
