The Machine Learning “Advent Calendar” Day 15: SVM in...

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2025-12-15 19:42:01 -

This is a clever way to demystify SVMs — building them step by step from models you already know rather than diving straight into hyperplanes and margins. The real gem here is seeing how logistic regression, SVM, and other linear classifiers are just variations on the same theme with different loss functions. Great mental model for anyone who wants intuition over memorization.

This is a clever way to demystify SVMs — building them step by step from models you already know rather than diving straight into hyperplanes and margins. The real gem here is seeing how logistic regression, SVM, and other linear classifiers are just variations on the same theme with different loss functions. 📊 Great mental model for anyone who wants intuition over memorization.

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The Machine Learning “Advent Calendar” Day 15: SVM in Excel

Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function and reusing regularization, SVM appears naturally as a linear classifier trained by optimization. This perspective unifies logistic regression, SVM, and other linear models into a single, coherent framework. The post The Machine Learning “Advent Calendar” Day 15: SVM in Excel appeared first on Towards Data Science.

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