Marginal, Joint and Conditional Probabilities Explained

In this video, we talk about some of the fundamental concepts in probability theory: the marginal probability, the joint probability and the conditional probability, together with the mathematical links between them. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Why We Don't Use the Mean Squared Error (MSE) Loss in Classification: https://youtu.be/bNwI3IUOKyg The Bessel's Correction: https://youtu.be/E3_408q1mjo Gradient Boosting with Regression Trees Explained: https://youtu.be/lOwsMpdjxog P-Values Explained: https://youtu.be/IZUfbRvsZ9w Kabsch-Umeyama Algorithm: https://youtu.be/nCs_e6fP7Jo Eigendecomposition Explained: https://youtu.be/ihUr2LbdYlE *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 01:09 - Joint Probability 01:58 - Marginal Probability 03:20 - Conditional Probability 04:43 - Recap 05:18 - Outro *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic https://twitter.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@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: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #marginalprobability #conditionalprobability #jointprobability #statistics #probability