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Apr 26, 2020
Bayes Optimal Classifier
The Bayes optimal classifier achieves minimal error across all possible classifiers. We give a proof of this and provide some numerical examples.

Apr 14, 2020
Probably Approximately Correct (PAC)
In this post I explain some of the fundamentals of machine learning: PAC learnability, overfitting and generalisation bounds for classification problems. I show how these concepts work in detail for the problem of learning circumferences.