2024-02-11
The recent and ever continuing advances in the quality of text, image, and audio transformers have given us access to numeric representations of these data formats that are well beyond what we could have even imagined a decade ago. Platforms like [Hugging Face](https://huggingface.co/) and others have made accessing these models easier than ever before and have enabled AI practitioners to…
2022-06-04
In this blog post I will be discussing the idea of graph neural netowks and how we can use them to create a simple soccer player position classifier using the PyTorch Geometric framework on data from Italy's final 4 matches at Euro 2020. This blog post is split into two sections. In section one I will give a brief overview…
2021-12-12
In this blog post I will be summarising some of the more useful datetime functions in pandas. In my current job, I often find myself dealing with time series datasets which require various datetime transformations. Initially I found myself spending a lot of time jumping around the [datetime](https://docs.python.org/3/library/datetime.html) and [pandas](https://pandas.pydata.org/docs/user guide/index.html) documentation trying to find out how to perform some…
2021-07-23
In this blog post I will be discussing activation functions for deep neural networks. I will begin by explaining what an activation function is and how they carry information through the network before taking a closer look at some of the more commonly used activation functions, and when they are best deployed. What is an activation function? In a neural…
2021-07-03
In this blog post I will be going through how we can train a deep learning model, using passing event data from the [StatsBomb open data repository](https://github.com/statsbomb/open data) to develop a simple expected pass completion model. I will begin by stepping through the data preparation process before getting stuck into the modelling side of things and discussing some of the…
2021-04-07
In this blog post I will be discussing how we can implement a Vigenère cipher in python to encode and decode messages you may want to send to a friend. Before getting stuck into the coding aspect of this tutorial, I will give a brief overview of the history of the Vigenère cipher and how it works. Before finishing up…
2021-02-27
In this (very) short blog post I will be discussing how we can use [Google’s My Maps](https://www.google.com/maps/about/mymaps/) to draw a polygon on a map and export it. I will then show you how to load this exported map polygon into python and check if a given point lies within the polygon (a point in polygon calculation) calculation. This sort of…
2021-02-14
A couple of weeks back I was toying around with the idea of a project relating to ranking hip hop lyrics. While planing out what that would involve I got the idea of using a Siamese neural network to train rhyme detection system using character based on level encodings of song lyrics. In this blog post I will talk you…
2020-10-16
In this blog post I will describe how we can use our understanding of the normal and poisson probability distributions to simulate Gaelic football matches for Dublin’s division 1 adult football league and determine the probability of either team winning the match. I will begin by briefly summarising the rules of the game and how we can download the data…
2020-08-24
In this blog post I will discuss network analysis and in particular the idea of eigenvector centrality before demonstrating how it can be used to identify the most influential players in Arsenal’s undefeated team from the 03/04 premier league season. The dataset I will use for this tutorial will be a subset of data from the [StatsBomb open data repository](https://github.com/statsbomb/open…
2020-08-03
In this blog post I will discuss non linear programming – what it is, some of the challenges, and how we can solve a non linear problem using python. This blog post builds upon the learnings from my previous post on linear programming. If you are unfamiliar with the idea of linear programming, I would recommend starting with that post…
2020-07-20
In this blog post I will be discussing linear programming, a mathematical method used to determine the optimal solution to a linear equation subject to linear constraints. I will begin by introducing the idea of linear programming and what a typical linear programming problem looks like. From here I will work step by step through a simple profit maximisation problem…
2020-06-22
In this blog post I will describe how to implement a simple ball tracking system in Python. We will use the YOLO model and OpenCV to identify and track the ball within each frame. In cases where the model cannot locate the ball, we will use a linear regression model (scikit learn) and quadratic curve fit (SciPy) to predict the…
2020-04-26
While in lockdown, and after stumbling across a number of tweets and blog posts discussing how effective it is, I decided to spend some time getting familiar with the [Rasa conversational AI framework](https://rasa.com/). I understood that Rasa was capable of intent classification and entity extraction within conversational text and I was keen to understand how I could implement a simple…
2020-03-28
In this short blog post I will demonstrate how we can easily implement the new BART model (from [Hugging Face](https://huggingface.co/)) to summarise the match reports from the 2019 All Ireland Football and Hurling Championship Finals. The two match reports we will be summarising can be found on the RTE website [here](https://www.rte.ie/sport/gaa/2019/0914/1075925 five alive o dublin dominate kerry to make gaa…
2020-03-22
Over the last few months I have been playing around with the Telegram API for a couple of personal projects and I’ve been really impressed with how easy it is to set up and how handy it is receiving custom notifications and messages delivered automatically to my telegram inbox. In this post, I will show you how to create a…
2020-01-12
In this post I will demonstrate how to we can use Python’s go to data manipulation module pandas to join multiple data sources, perform some basic transformations (aggregation, pivots, etc.), and visualise the data. For each example, I will provide a sample code snippet. However if you would like to see the code and data for this tutorial in full,…
2019-09-29
In this post I will summarise and compare sentence similarity scoring using both bag of words and word embedding representations of the text. I will begin by introducing the idea of cosine similarity, a method for computing the similarity between two sentences. From here, I will walk through the steps involved (with code) in creating sentence vectors, first using bag…