Ensemble Techniques in AI #aiwithakash #genai #aiintamil

Why trust one model when you can trust many? Ensemble learning combines multiple models to produce one stronger and more accurate prediction. Instead of depending on a single algorithm, we let several models learn and then merge their outputs. Think of it like asking multiple experts and taking the final decision based on everyone’s opinion. Main types: * Bagging → Models run in parallel and their results are averaged * Boosting → Models learn sequentially and correct previous mistakes * Stacking → Models combine through a meta model More stability Better accuracy Less overfitting That is…