Gradient Boosting Machine (GBM) | Pseudo Residuals | Gradient Descent in Function Space | Explained

📖 Notes:- https://robosathi.com/docs/machine_learning/supervised/decision_trees/gradient-boosting-machine/ 🎥 Next Video: GBDT Algorithm:- https://youtu.be/yf8a871iqt8 👉 In this video, we'll understand Gradient Boosting Machine — starting from the mean model and ending with pseudo-residuals and gradient descent in function space. 🎯 Learning Objectives ✅ Understand the core idea behind Gradient Boosting ✅ Learn why GBM starts with the mean model for MSE ✅ Understand pseudo-residuals with a clear example ✅ See how gradient descent works in function space 👉 Maths for ML Playlist: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxePOg6k6vAkcg5Y50EAZds9 🕔 Time Stamp 🕘 00:00:00 - 00:00:31 Introduction 00:00:32 - 00:03:00 Basic Idea of GBM 00:03:01 - 00:05:48 Example of GBM 00:05:49 - 00:12:05 Formula of GBM 00:12:06 - 00:18:30 Gradient Descent in Function Space 00:18:31 - 00:21:45 Pseudo Residual 00:21:46 - 00:28:19 Why initial model Mean model for MSE? 00:28:20 - 00:28:56 What's Next? 🤔 #ml #ai #gbm #gradientboostingmachine #boosting #pseudoresidual