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February 5, 2025 Taewoon Kim

Understanding Maximum Likelihood Estimation

A Deep Dive into MLE, Loss Functions, and Beyond

Most of us, whether consciously or not, use Maximum Likelihood Estimation (MLE) in our daily machine learning workflows. When you’re training a model to predict labels in a supervi...

Understanding Maximum Likelihood Estimation
statistics machine-learning estimation likelihood
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October 16, 2024 Taewoon Kim

The Problems with p-values

Why Frequentist Significance Testing Falls Short

Statistical significance testing, specifically the use of p values, has been the cornerstone of hypothesis testing for decades. However, this frequentist approach has critical flaw...

The Problems with p-values
statistics p-values data science frequentist vs bayesian
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