·2 min read
Ridge Shrinks Coefficients, Lasso Zeros Them Out: Why That Difference Matters
Regularization is not about making your model more accurate on training data. It is about making it less wrong on data it has never seen. When a model fits too
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My ML Journey
Why I'm Documenting This
Learning ML in public. Every entry is a day of studying: what clicked, what confused me, and what I'm pulling on next. Writing forces me to actually understand things, not just watch them go by. If it helps someone else figure something out, even better.
Daily notes on machine learning, deep learning, and AI.
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