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Probabilities and the Frenchman gambler

Probabilities and the Frenchman gambler
By Santiago • Issue #27 • View online
I got Covid. Gratefully, I’m fine now.
Last week, I spent a lot of time in bed 🤒 and took advantage of it by reading a lot about probabilities.
I want to take this opportunity and share some of it with you.
Probability Theory is a fundamental topic for any Machine Learning Engineer or Data Scientist. I hope this introduction serves you well.

People gambling their quarters away...
People gambling their quarters away...
An introduction to Probabilities
The best way to fully understand a topic is to start from the very basics.
I decided to write a summary of the fundamental building blocks of Probabilities Twitter-style.
This is a great way to start.
If you want to become a better gambler, you need to learn probabilities.

(Also useful for machine learning, but who cares about that.)

Let's talk about the basic principles of probabilities that you need to understand.
The story of Chevalier De Méré
A fascinating story about the origins of Probability Theory and a problem that later became “De Méré’s Paradox.”
Stop reading when you get to the problem, and try to solve it without looking at the answer.
Antoine was born in France back in 1607.

Despite not being a nobleman, he called himself "Chevalier De Méré," and spent his days as any other writer and philosopher at the time.

But the Chevalier liked gambling, and was obsessed with the probabilities surrounding the game.
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