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Can you calculate π by throwing darts randomly? This video explains the Monte Carlo simulation technique using a simple dart-throwing experiment to estimate the value of pi. Learn how randomness and probability turn into powerful tools for solving complex problems in mathematics, physics, and finance. Whether you're into statistics, data science, or just curious how games of chance help predict outcomes, this video makes the Monte Carlo method intuitive and unforgettable. Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Bayesian Optimization: • Bayesian Optimization Hyperparameters Tuning: Grid Search vs Random Search: • Hyperparameters Tuning: Grid Search vs Ran... The Kernel Trick: • The Kernel Trick Cross-Entropy - Explained: • Cross-Entropy - Explained Dropout - Explained: • Dropout in Neural Networks - Explained Overfitting vs Underfitting: • Overfitting vs Underfitting - Explained Why Models Overfit and Underfit - The Bias Variance Trade-off: • Bias-Variance Trade-off - Explained Least Squares vs Maximum Likelihood: • Least Squares vs Maximum Likelihood XGBoost Explained in Under 3 Minutes: • XGBoost Explained in Under 3 Minutes Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:52 - Coin flipping example 01:21 - Approximate pi example 03:00 - Law of large numbers 03:33 - Summary 03:58 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic / datamlistic 📸 Instagram: @datamlistic / datamlistic 📱 TikTok: @datamlistic / datamlistic 👔 Linkedin: / datamlistic Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: / datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #montecarlo #mathtricks #randomness #datascience #statistics