Multiple Independent Observations - Topic 96 of Machine Learning Foundations

#MLFoundations #Probability #MachineLearning
In this video, we consider probabilistic events where we have multiple independent observations - such as flipping a coin two or more times instead of just once.
There are eight subjects covered comprehensively in the ML Foundations series and this video is from the fifth subject, "Probability & Information Theory". More detail about the series and all of the associated open-source code is available at github.com/jonkrohn/ML-foundations
The playlist for the Probability subject is here: www.youtube.co....
Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at Columbia University, New York University, leading industry conferences, and online via O'Reilly.
More courses and content from Jon can be found at jonkrohn.com.

[@Sicilian_defence]

Hey Jon how you doing, I hope you're well, I was wondering if there is further continuation to the explanation of the probability notebook on your channel, I was wondering too if there's a playlist containing Statistics, and by the way I'd like to express my appreciation to what you have done already, thank you for your time and effort. 🎉🏆🥇

[@JonKrohnLearns]

Cheers, Mohamed! I haven't made those videos for RUclips yet, but I hope to have the bandwidth to soon! If you sign up for my email newsletter on jonkrohn.com, you'll be sure not to miss when I start publishing these videos on RUclips again.