Thomas Newman

Gaussian Processes in Regression

thomas-newman — Thu, 05 May 2022 12:20:44 +0000

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 a continuous variable, then it is very unlikely to have already made an observation for this new value . Thus, having discrete data is very […]

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(Part 2) Daily attendances in accident and emergency departments – Forecasting attendances

thomas-newman — Mon, 04 Apr 2022 16:45:00 +0000

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 different forecasting methods. The first blog focused on exploring the data and identifying relationships between attendances/admissions and patients’ age/referral source/arrival date/time. To read the first blog […]

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(Part 1) Daily attendances in accident and emergency departments – Exploratory data analysis

thomas-newman — Mon, 28 Mar 2022 16:40:00 +0000

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 first blog looks into analysing the relationships between the daily number of admissions/attendances at the hospital’s A&E and patients’ age/referral source/arrival date/time. In the […]

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Stochastic gradient descent using backpropagation for deep reinforcement learning

thomas-newman — Mon, 14 Mar 2022 13:05:39 +0000

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 was introduced hoping that we can start learning about a wide range of topics as early as possible. This form of learning where we […]

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Yearly Coal Mining Disasters – Bayesian Changepoint Detection

thomas-newman — Mon, 14 Feb 2022 12:49:36 +0000

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....

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Anomaly detection for functional data

thomas-newman — Wed, 29 Dec 2021 14:03:43 +0000

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.

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