Sum Rule, Product Rule, Joint & Marginal Probability - CLEARLY EXPLAINED with EXAMPLES! 

This is perhaps the most intuitive video on joint, conditional probabilities and on Bayes rule.

I already know this but this guy needs the thumbs up! Thank you!

What a sublime explanation. Honestly I have seen so many videos and yours just drove the concept home. Brilliant!

Your videos on probability are the first that made everything clicked. Thank you so much. I hope you will make more videos on probability, esp. regarding the various distributions, in the future.

Have been using Chris Bishop's new DL book and he reuses the same figure from PRML. Thanks for your video, the general equations are crystal clear now! ❤

Thank you so much, First I read the 1st chapter of this book and then I listened to your video. You gave a superb explanation and cleared all doubts. Thanks for your community service :)

Nicely paced, beautifully animated, taking the time to fill in concrete indices somehow makes it easier for my smooth brain to grasp. Additional notes on where the name for marginal probability comes from are also greatly appreciated. Thanks for this tutorial. I’m sure I’ll be returning to your channel for more elucidation.

my feedback is that this is amazing!!! wish my ML prof taught this :( this truly is one of the few videos that breaks the sum rule, product rule, join and marginal probability down so well

Thank you so much. I hope the lessons keeps coming. This is like blessings.

OMG! Why is this so underrated!!!????

this is so much better than grinding through practice questions to prepare for exams

beautiful way of puttting it together

This is a really good example.

Thanks for making it that simple!

Great explanation, thanks for making life easier, More power to you!!

Very well explained, thank you so much. You helped me a lot

Clear explanation. Thank you so much,

nice videos. pls keep up the good work