Generalised Linear & Additive Models Explained Simply | Detecting Patterns with Smooth Splines 🔍
Are you confused between Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs)? In this video, we break it down step-by-step — just like a detective solving a case. 🎩 Dive into: -What are GLMs and how they model data? -The need for GAMs and how splines create smooth curves -Visual intuition behind knots, splines, and link functions -Pros and cons of using GAMs Whether you're a beginner or revisiting your machine learning basics, this video will help you understand the core ideas behind GLMs and GAMs — in plain English. 🎓 Learn visually, stay curious, and join me in stalking algorithms one clue at a time! Chapters 0:00 Intro 2:42 Linear Regression : Concept of errors 3:39 Generalised Linear Models 5:51 Generalised Additive Models 15:08 Predictions via GAMs #GLM #GAM #MachineLearning #AlgoStalk #Statistics #SplineRegression #DataScience
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