Regular

In this blogpost I explore how ODE’s can be used to solve data modelling problems. I take a deep dive into the data modelling problem at hand and present ODE’s (which model rates of change) as an alternative to regression (which attempts to model data directly). Later I introduce the...

This is the second in a series of blogposts which I am writing about probability. In this post I introduce the fundamental concept of conditional probability, which allows us to include additional information into our probability calculations. The ideas behind conditional probability lead naturally to the most important idea in...

Inspired by a course which I am taking in probability theory, this blogpost is an attempt to explain the fundamentals of the mathematical theory of probability at an intuitive level. As the title suggests, this post is pretty much intended for everyone, regardless of mathematical level or ability. There will...

This is the second post in a series dedicated to the history of Artificial Neural Networks. Read the first post on the MCP Neuron here. For an accompanying Jupyter notebook with a Python implementation of the Perceptron, go here

Artificial intelligence is an incredibly exciting area of research and development which spans mathematics, statistics, computer science, engineering, philosophy, linguistics, information theory, biology, pyschology, neuroscience and others. It is also a fairly nascent area of science - what has been achieved so far are just the first steps in the...