May 6, 2026

Played with MLE, MAP and Regularization

Read chapter 3 of Grokking Machine Learning

Learned about about Sampling, Law of Large Numbers and Central Limit Theorem

Learned about Bayesian Statistics and the difference between Frequentists and Bayesian

Learned about Point Estimation and several type of estimation like Maximum Likelihood Estimation(MLE), Maximum A Posteriori(MAP) and Regularization

Learned about the relationship between MAP, MLE and Regularization

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Continue week 4 of the Mathematics for ML(Probability and Statistics)

Do chapter 3 assignment and document in a GitHub repo my solutions and read chapter 4 of Grokking Machine Learning

I am Bayesian!!!