---
title: "Discussion on \"AIC and BIC: Choosing the Right Model Without Overfitting\" | Hashnode"
description: "Discussion on \"AIC and BIC: Choosing the Right Model Without Overfitting\". Derive the log-likelihood from first principles, then build AIC and BIC as penalised model selection criteria. Compare polynomial fits, visualise the bias-variance tradeoff, and understand when to use each criterion."
url: "https://hashnode.com/posts/aic-and-bic-choosing-the-right-model-without-overfitting/6a422fe2328f4f8cb9f3575d"
---

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# [AIC and BIC: Choosing the Right Model Without Overfitting](https://sesenai.hashnode.dev/aic-and-bic-choosing-the-right-model-without-overfitting?utm_source=hashnode&utm_medium=feed)

Derive the log-likelihood from first principles, then build AIC and BIC as penalised model selection criteria. Compare polynomial fits, visualise the bias-variance tradeoff, and understand when to use each criterion.

Jun 29 · 13 min read · sesenai.hashnode.dev  
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-   [#statistics](https://hashnode.com/tag/statistics)
-   [#supervised-learning](https://hashnode.com/tag/supervised-learning)
-   [#discriminative](https://hashnode.com/tag/discriminative)

## Written by

[Berkan Sesen](https://hashnode.com/@berkansesen)

@berkansesen · London, UK

  
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I think about AI. A lot.

I think about AI. A lot.

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