Bayes Theorem & Bayesian Statistics Introduction

In this video, we delve into the fascinating world of Bayesian statistics. We'll start by understanding the basics of probability and statistics, before moving on to the Bayes' theorem, a fundamental concept in Bayesian inference. We'll explore how Bayes' rule is applied in real-world scenarios and how Bayesian inference is used to update probabilities based on new data!

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Hi, I'm Egor! 👋 I am a Data Scientist with a master's in Physics currently living in London. I share data science tutorials, advice and general tech topics!

⏰ TIMESTAMPS
0:00 Intro
2:54 Types of Probability
7:06 Bayes' Theorem
16:22 Bayesian Updating
26:41 Conjugate Priors
36:14 Real Life Example

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This content is for educational and entertainment purposes only and should not be considered as professional advice. Views and opinions are my own and do not represent or reflect the opinions of my current or past employer or any organisations I am associated with. This description also contains affiliate links from which I may receive a small commission from.

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Thank you so much! Bayesian Statistics is really a foundation, yet often neglected, for data science and machine learning (it is more rare to see now but some common cost functions definitely have hints of it). Glad that you spent time and helped us revisiting it.

Just curious here, whether you have plans doing another video about baysian vs frequentist (and hence, MLE)?

btw. Early Merry Christmas Man.