ML Classifier Evaluation – A First Look
Once you’ve built a machine learning classifier, the next step is to validate it and see how well it fits the data. This short post…
Naive and Proud: Introducing the Naive Bayes Algorithm
The Naive Bayes Algorithm is a simple and elegant approach for tackling supervised learning problems in Machine Learning. This post will be a brief introduction…
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Random Variables and Probability Functions
In this post I will build on the previous posts related to probability theory - I have defined the main results of probability from axioms…
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Probability – Definitions and Axioms
After the last post discussing set theory here, the next logical step is to discuss the concept of probability theory. The theory of probability is…
Introduction to Probability – Set Theory
Recently I have been undertaking a project to commit my accrued notes relating to statistics online. I want to do this for a few reasons:…