Probability Mass Function (PMF) | Explained with Examples

📘 Notes: https://robosathi.com/docs/maths/probability/probability-mass-function/ 🎥 NLP Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxcDlHCeNiKbRhLWKVunQaxn 🎥 Deep Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxe749nPGDV2cd6SR6zIZIJl 🎥 Machine Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxeydAqz2lsSMFYinbrJy9mu 🎥 Full Maths Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxen-R6NytSMigAri7piPhFp In this video, we will learn what PMF (Probability Mass Function) really means, and how it is used to assign probabilities to Discrete outcomes. Learning Objectives ✅ What is PMF? ✅ Key properties of PMF ✅ Step-by-step examples with clear intuition 🕘 Time Stamp 🕔 00:00:00 - 00:01:39 What is PMF? 00:01:40 - 00:05:23 Why Probability- Mass Functions? 00:05:24 - 00:08:12 Key Points 00:08:13 - 00:10:42 Find PMF by given CDF Related video ✅ https://youtu.be/YqbtUTJT--E ✅ https://youtu.be/OnZBNh_ozYI 📘 Part of the Math for AI & ML series by RoboSathi #ai #ml #randomvariables #pmf #cdf #discretemathematics #continuouslearning #probability #statistics #machineLearning #robosathi