Understanding Inductive Bias in Machine Learning: Why It Matters
In machine learning, inductive bias is the set of assumptions a model uses to generalize beyond its training data. Think of it like the "gut feeling" of an algorithm — without it, a model wouldn’t know how to handle new inputs. From spam filters usin...
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