Support Vector Machines (SVMs) - Explained
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YouTubeDataMListic
Support Vector Machines (SVMs) - Explained
This video explains Support Vector Machines (SVM) from first principles, covering the classification problem, decision boundaries, maximum margin intuition, support vectors, margin maximization, and the mathematical formulation. It also introduces the kernel trick for non-linearly separable data. A clear and visual explanation of SVM geometry ...
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¿Por qué SVM busca el máximo margen y cómo el kernel separa en “dimensiones infinitas”? Te doy la regla práctica para saber cuándo SVM gana. #DataScience #MachineLearning #SVM #KernelTrick #IA
1:57
¿Por qué SVM busca el máximo margen y cómo el kernel separa en “dimensiones infinitas”? Te doy la regla práctica para saber cuándo SVM gana. #DataScience #MachineLearning #SVM #KernelTrick #IA
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