Welcome to T-DAB Blog & Features
Discover the latest ideas, advances and technological developments in the ever-changing world of data science. Our talented team of data scientists, engineers, and analysts offer their insights and thoughts across a range of topics including machine learning, data engineering, deep learning, data visualisation and much more.
Our features cover how cutting edge technology and research in these areas are developing and being applied to real industry challenges, and analyse how investing in data science can benefit business efficiency and turnover.
As a specialist machine learning innovation company, we continually collaborate with business partners and freelance data science professionals to help deliver the highest-quality solutions to industry challenges. This is the cornerstone of our Innovation Sandbox programme, which focuses on bringing talented people and ideas together to produce the best results for our clients. We believe in sharing knowledge and ideas with the science community so others can develop and the industry can benefit from our projects and findings.
Explore our project case studies to find real, in-depth examples of our pioneering work in developing successful solutions in machine learning, deep learning, AI, predictive maintenance, big data, and more, across a range of industries.
For more information about how our data science specialists at T-DAB can help solve and deliver unique solutions for your business, please do not hesitate to reach out to our friendly team of specialists today.
Browse our archive of articles below to learn more about data science developments and ideas now.
Text Summarization from the Innovation Sandbox
Over the last few years, considerable progress has been made in the field of Automatic Text Summarization- the branch of Natural Language Processing concerned with building programs which can automatically summarize written content. This article, the first of a mini-series on this area, gives a short outline of the field and an overview of some of the leading approaches.
Innovation & AI: Our Story so Far
Years before starting The Data Analysis Bureau, our founder and Head of Data Science, Eric Topham, was already sailing for pleasure and competitively. Whilst at
T-DAB Lab: Innovation Sandbox
In the fast-moving multidisciplinary field of commercial data science and engineering, staying abreast and ahead of rapid technological change is key. T-DAB’s mission is to
The Importance of Collaboration in Technology
An ecological perspective on collaboration for developing intelligent solutions Unlike the scientific advances of the late 19th and early 20th centuries, the technological developments of the 21st are
Supervised learning vs unsupervised learning
Machine Learning is all about understanding data, and what can be taught under this assumption. This post introduces supervised learning vs unsupervised learning differences by taking the data side, which is often disregarded in favor of modelling considerations.
Setting up an Experimentation Data Science Environment in Azure
It can be daunting to navigate different tools and answering a simple question, “where to start?”. If you have some data on your hands and you want to do some data science and you want to do it NOW, this post will explain how to “switch on” the infrastructure you need.
