## ML Classifier Evaluation – A First Look

Once youâ€™ve built a machine learning classifier, the next step is to validate it and see how well it fits the data. This short post…

Skip to content
## Tag: probability

##
ML Classifier Evaluation – A First Look

##
Naive and Proud: Introducing the Naive Bayes Algorithm

##
Random Variables and Probability Functions

##
Probability – Definitions and Axioms

##
Introduction to Probability – Set Theory

Once youâ€™ve built a machine learning classifier, the next step is to validate it and see how well it fits the data. This short post…

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…

Continue reading → Naive and Proud: Introducing the Naive Bayes Algorithm

In this post I will build on the previous posts related to probability theory - I have defined the main results of probability from axioms…

Continue reading → Random Variables and Probability Functions

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…

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:…