Explain how to use regularization in a regression model and why it might be necessary.

题目类型: 技术面试题

这是一道技术面试题，常见于澳洲IT公司面试中。

难度: hard

标签: Data Analyst

参考答案摘要

Regularization (L1/L2) adds a penalty term to the cost function, discouraging overly complex models that might overfit the training data. It’s necessary when dealing with collinearity, noisy data, or ...

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