📘 Notes: https://robosathi.com/docs/maths/probability/parametric-model-estimation/
In this video we cover Maximum Likelihood Estimation (MLE) — a core frequentist method for estimating model parameters.
Learning Objectives
✅ Likelihood Function
✅ Log-Likelihood Simplification
✅ Derivative and Optimization
🎥 Related Videos
✅ https://youtu.be/dF6FPavAC0s
🎥 Full Course Link -
✅ https://www.youtube.com/watch?v=Dsz7WcGcnxc&list=FLQqvaMq6Wu40s3RH5ss3P5A&pp=gAQB
🕘 Time Stamp 🕔
00:00:00 - 00:01:47 MLE Explained
00:01:48 - 00:02:59 Likelihood
00:03:00 - 00:04:15 Likelihood Function
00:04:16 - 00:10:01 Likelihood Formula
00:10:02 - 00:12:10 Log-Likelihood
00:12:11 - 00:21:02 Log-Likelihood Example
📘 Part of the Math for AI & ML series by RoboSathi
#ai #ml #mle #maximumlikelihood #log #probability #statistics #machineLearning #robosathi
