Data Science and Machine Learning (Theory and Projects) A to Z - Experiment: Event Exercise 01

The video tutorial explains the concept of sample space in probability, focusing on a sample space of size 16. It discusses how every subset of this sample space is considered an event, including the empty subset, which is also an event by strict definition. The tutorial then guides viewers through calculating the number of possible events, which is equivalent to finding the number of subsets of a set with 16 elements.

What new insight or understanding did you gain from this video?

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