Our PARTNERS.
delivering solutions.

about T-DAB
partnersHIPS.

Deliver machine learning driven intelligence and solutions to your clients by collaborating as a partner. Expand your portfolio to offer data science, cloud or machine learning services and benefit from shared expertise to scale your proposition with the data-driven experts. 

introducing our
industry leading
international partners:

Microsoft Logo

We are a key specialist Data Science & Machine Learning member of the Microsoft Partner Network. We hold accredited Gold level competencies in both Data Analytics and Data Platform. 

Apogee Software Logo

Apogee Software specialise in the development of big data analytics and converting bleeding edge machine learning algorithms into production ready enterprise solutions for financial markets.  

Amazon Web Services Logo

We are a AWS Consulting Partner specialised in Machine Learning services and implementation and broad experience across data and cloud strategy and implementation.

Imperial College London Logo

We collaborate with Imperial College to support innovation and research projects, and work with multiple clients to solve new and bleeding edge challenges. 

Google Logo

We are a Google Cloud Platform partner specialised in Machine Learning services.

Trigger racing Logo

JTR are a close innovation partner and incubator for our Innovation Sandbox, exploring deep reinforcement learning and recurrent neural networks. 

we're proud
to offer
key partnership benefits.

Explore what data science and machine learning means for your business and clients. Partner with us to deliver new value add services to your clients or work on bleeding edge solutions to drive innovations across the industry.

 

 

 

innovation-sandbox-tdab-lab
Innovation
Eric Topham

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

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instrinic-clustering-structure-supervised-learning-vs-unsupervised-learning
Machine Learning
Hugo Barbaroux

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.

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