Union, Intersection, Independence, Disjoint, Complement: Superior Chance for Knowledge Science Collection (1)
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In the event you’ve been following my earlier articles within the likelihood collection, you could have observed that I briefly touched on ideas like probability notations earlier than diving into Bayes’ theorem.
I took a while to look again at my articles and realized that I didn’t go deeply into the foundational notations that set the idea for all likelihood calculations such because the Union, Intersection, Independence, Disjoint, and many others.
These notations aren’t simply one thing that must be brushed over as a result of they’re tremendous vital in all issues associated to information. Particularly in fields like information evaluation, machine studying, and statistical modeling.
This realization led me to assume: earlier than leaping headfirst into superior subjects like Conditional Chance, Conditional Independence, Bayes’ Theorem, Markov Chains, or Monte Carlo strategies, it’s essential to have a stable understanding of the fundamentals.
With out this basis, superior likelihood…
