Скачать или смотреть I Simulated 100 Lives

In this project,👨🏻‍💻 I built a digital universe from scratch where every success and failure is decided by the single most important topic in AI and Machine Learning: Probability. This video is a deep dive into how randomness, luck, and risk shape our world, explained with a hands-on Python simulation.
🎲 Probability & Statistics Topics Covered in this Video: 🎲
1.Random Variables: Creating unique individuals with different starting stats.
2.Probability Distributions: Using Normal, Uniform, and Beta distributions to model traits realistically.
3.Simulation: Building the engine of our digital universe that runs over time.
4.Bernoulli Trials: Modeling every "yes/no" chance event, like a startup succeeding or failing.
5.Expected Value: The math behind why risk-takers choose the riskier path.
6.Law of Large Numbers: How predictable patterns emerge from chaos.
7.Markov Transitions: Modeling the different stages of life.
8.Correlation (Risk vs. Reward): Visualizing the relationship between traits and success.
9.Variance & Outliers: Understanding the gap between the rich and the average.
10.Joint Probability: The secret "chai recipe" for success where multiple things must go right.
11.Categorical Crossentropy: How an AI's report card works for multi-choice predictions.
12.Bayes' Theorem: How AI thinks like a detective to update its beliefs.
13.Monte Carlo Simulation: Repeating an experiment 1000s of times to find the true odds.
14.Conditional Probability: How one event (like bad health) changes the probability of another.
15.Correlation Matrix: The final "X-Ray" of our universe that reveals the ultimate secret to success.

https://github.com/Light7806/Probabil...

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