Gaussian Processes in Regression
Lets assume we are interested in making predictions, based on a set of data points represented in Figure 1. Naturally, if we want to make predictions for a specific value where is…
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May 5, 2022
(Part 2) Daily attendances in accident and emergency departments – Forecasting attendances
In this second and final blog in the series dedicated to analysing daily attendances in accident and emergency departments, we will attempt to forecast the daily number of attendances at A&E using three…
April 4, 2022
(Part 1) Daily attendances in accident and emergency departments – Exploratory data analysis
This two part blog will focus on the attendances at an accident and emergency department (A&E) in a major hospital in the United Kingdom between the beginning of 2016 and the end of 2019. This…
March 28, 2022
Stochastic gradient descent using backpropagation for deep reinforcement learning
Learning is an essential part of life, which we do both consciously and subconsciously. From an early age we humans are usually expected to attend school and study. This social custom…
March 14, 2022
Yearly Coal Mining Disasters – Bayesian Changepoint Detection
Around the world, mining disasters are the source of thousands of deaths every year. Amongst the different types of mining methods, underground coal mining is particularly dangerous....
February 14, 2022
Anomaly detection for functional data
We call an anomaly, an observation that differs significantly from the rest of the data. These are important to detect as they can indicate the existence of a problem. Early identification could even prevent the problem recurring and avoid subsequently worse issues.
December 29, 2021