Combinatorics — Topic 97 of Machine Learning Foundations

#MLFoundations #Probability #MachineLearning Combinatorics is a field of mathematics devoted to counting that can be helpful for studying probabilities. In this video, we use examples with real numbers to bring this combinatorics field to life and relate it to probability theory. 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 The playlist for the Probability subject is here: 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 Univ