Research Associate, Network Analysis, Social Media and Programming
In my job as a data analyst, I come across many different types of problems to solve. Some are relatively easy to solve, others not so much. That was until recently, where I came across a problem I have never given much thought before. That was until now. What is the problem? Finding multiple peaks … Read more
As part of my job as an academic, a large part of what I do involves producing new knowledge by publishing research papers with other fellow researchers, As I was completing a PhD, I had the opportunity to get a few publications out, both as a lead author (along with my supervisors) and as a … Read more
I’m a huge fan of Reddit. In fact, I use it every day. There’s something about the community-oriented structure of the platform which makes it easy to reach like-minded people and to discuss things which are of interest to me. As of April 2023, Reddit receives around 1.7 billion visits per month however, recent changes … Read more
In a separate blog post, I covered the basis for understanding how self-organising maps (SOM) work. This included what a SOM is, why SOM’s are useful and how they work – including the training algorithm. In this blog post, we’ll go through how we can build a simple SOM neural network of our own using … Read more
Artificial Neural Networks (simply known as neural networks) come in all different shapes and sizes and can be designed to solve different types of problems. Classification, regression, supervised and unsupervised. Neural networks are incredibly versatile. It’s fair to say that neural networks are the go-to solution for any predictive task imaginable. This is especially true … Read more