Technical Blog from The Data Team

Read the latest technical blogs from our data science team.

Using Shiny for interactive displays of health data: The Scottish Burden of Diseases

The Accelerator programme run by The Data Lab between 19 April 2018 – 06 September 2018 was a Scottish Government collaborative project, open to employees of the Scottish Government, the Information Services Division, the National Records of Scotland and Registers of Scotland. Employees applying to take part had a background in statistics, economics, operational research and social

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Four tips for creating interactive visualisations with Shiny

I’ve recently presented a toy Shiny app at the Edinburgh Data Visualization Meetup to demonstrate how Shiny can be used to explore data interactively. In my code-assisted walkthrough, I began by discussing the data used: a set of records detailing customer purchases made on Black Friday (i.e., each customer was given a unique ID, which was repeated

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Interactive Intelligence: Human-In-The-Loop Intelligence

Artificial Intelligence and Machine Learning has captured a large share of academic and industry attention during recent years, both in terms of new capabilities and the implications to society. Many state-of-the-art techniques are able to provide important capabilities for different fields, yet we are far from creating artificial general intelligence. Human-In-The-Loop (HITL) is a branch

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Generative Adversarial Networks – when AI gets creative

Since Frank Rosenblatt introduced the Perceptron in 1958, neural networks have significantly evolved and taken the world by storm. Their ability to model complex, non-linear relationships that exist in data, led to novel neural network architectures, able to outperform humans in various challenging tasks like face recognition, disease prognosis and playing video games. However, even

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Sector Innovation Snapshots: Visualising innovation information in Scottish sectors for the Can Do Innovation Forum

This summer, I was asked to support the Scotland CAN DO Innovation Forum with some data visualisation work. The Forum has been working with its members, representing key employment sectors in Scotland, to better understand innovation. What does innovation look like? How does it manifest in different sectors? And how can we support innovation across Scotland? To

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Announcing The Second Keynote of DataTech19: Mine Çetinkaya-Rundel

We have further updates on DataTech19, Scotland’s first technical data science conference! We are pleased to announce our second confirmed keynote speaker for DataTech19: Mine Çetinkaya-Rundel (Associate Professor of the Practice, Duke University, and Data Scientist + Professional Educator at RStudio). Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computation, reproducible

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New Keynote Announcement for DataTech19: Debbie Bard, and Deadline Extension for Proposals

We are delighted to announce our complete list of keynote speakers for the upcoming DataTech19conference (organised by The Data Lab as part of DataFest), which now includes Debbie Bard, expert in machine learning at scale and data-intensive computing for experimental science, from the National Energy Research Scientific Computing Center (NERSC). Following this essential update, we would like to take the

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Introducing Jared Lander, Keynote Speaker at DataTech19

Join us for DataTech19, Scotland’s first technical data science conference as part of DataFest The Data Lab is delighted to introduce a new event to the DataFest family: DataTech (14 March 2019, Edinburgh). This technical, one-day data science conference will cater to a diverse audience including analysts, developers, engineers and scientists from the public sector, academia and industry.

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An R-based App for Exploring Traffic Accidents in Scotland

Recently I discovered that the UK government collects detailed information about traffic accidents across the country that are being reported to the police. What’s even more interesting is that all these data are being uploaded and made publicly available on the government’s open data website. This dataset, being so rich, immediately caught my attention. I

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