Fire engine staff optimisation at the London Fire Brigade

Machine Learning / supervised learning / gradient boosted trees / optimisation

By AndrĂ© Richter, ASI Fellow, May 2017 The emergency responses of the London Fire Brigade (LFB) are complex operations involving a variety of specialised skills. Not all skills are shared by all firefighters, so unanticipated disruptions to the team composition (for instance due to sickness) frequently render teams unable to…

What kind of gamer are you?

Machine Learning / clustering / k-means / player behaviour

By Alex Adam, ASI Fellow, May 2017 The video game industry is enormous. By many accounts, it is larger than either the film or music industry and yet it is also much more volatile. Studios can rise to fame in a matter of months and then collapse just as rapidly.…

Building intelligent customer service

Data Science / Machine Learning / SVM / NLP / SherlockML

By Angus Williams, ASI Fellow, May 2017 Customer services can be frustrating. Whether it be negotiating menus over the phone, unsure which option fits with our query, or reading long lists of FAQs online, we can end up bored and irritated. Fortunately, forward thinking businesses that understand the power of…

Supporting STEM Education with Adaptive Learning

Machine Learning / Data Science / STEM / XGBoost / Education

by Valentina Salvatelli Studying science is very hard. Having a great tutor to help and motivate you, makes a real difference in the development of strong scientific and problem-solving skills. Unfortunately, the majority of students does not have access to any specialised and tailored STEM education. This often translates into…

Bringing real-life insights to retail stores

Data Science / Machine Learning / shopping behaviour / fuzzy string / hierarchical clustering algorithm / kernel density estimator

by Faye Cheung, ASI Fellow 2016 Understanding shopping behaviour has played a major role in the success and growth of online shopping. Online retailers are able to watch their users’ web activity - search terms, number of clicks and so on - which allows them to target advertising and product…

How to put out a fire using old reports

Data Science / Machine Learning / Algorithms / LFB / Natural Language Processing / Latent Dirichlet Allocation

by William Grimes, ASI Fellow 2017 Fires in London have been in steady decline since the 1980s. In 1987 fires in London killed 190 people, in 2016 the death toll due to fires fell to 36. Data is crucial in reducing fire fatalities even further. There are three main reasons…

ASI in the news!

Artificial Intelligence / Open Data / Data science projects / Data Science Community / Data Scientist / Machine Learning / BBC / Press / Magic Town

You may also have caught us in the news today. We'll be writing more about how Magic Town came about on the blog shortly. In the meantime, you can read more about it on the BBC, Independent and CityAM.…

ASI Training - Exciting Announcement!

Artificial Intelligence / Data Scientist / training / business analyst / business analytics / Python / Machine Learning / corporate training

Spring is in the air and a lot of new and exciting things are happening at ASI Data Science. As we recognise the demand for data science training through working with our clients, we are now offering training opportunities for the broader public and companies beyond the Fellowship. If you…

The right energy at the right time

Data Science / Machine Learning / unsupervised learning / Algorithms / k-means clusteriing / sinusoidal model / Fourier Theorem / energy / usage patterns

by Archy de Berker, ASI Fellow 2017 We take for granted that with the flick of a switch we can turn on a light, make a cup of tea, and turn on the TV to watch Game of Thrones each Friday evening. All of this requires energy. But more than…

Burns Bot Part 2: Building a Slackbot

Artificial Intelligence / Data Science / Machine Learning / Robert Burns / GitHub / Markov chain models / Bots / Slack / Chatbots

In the previous post we discussed using Markov chain models to generate pseudo-poetry. But data science is not just about writing algorithms which give you a warm feeling and make your grandma swallow her dentures with admiration. A good project culminates with productionisation: packing your data science into a format…