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At T-DAB, we are committed to delivering high-quality data science solutions to our clients through a combination of cutting-edge machine learning and data science ingenuity and business understanding.
Our team of data science professionals are on hand to help and support your business overcome individual industry challenges. Across our talented pool of data scientists, data engineers, solution architects, data analysts, and business intelligence analysts, we have the ideas and resources to add value to your business process.
We specialise in the inception, development and delivery of data science, machine learning, data engineering, data architecture, and data visualisation services. Our collaborative team of highly-skilled data science associates and freelance consultants use their expertise to evolve new ideas from proof of concept through to a full model management service that delivers ongoing business value.
T-DAB have delivered more than 50 projects for businesses across a host of industries, including manufacturing, retail, healthcare and more. Through the utilisation of technical expertise from the very best talent and the best available tools, we produce unique data science solutions to solve complex business challenges. Our real case study examples showcase our pioneering work in AI, machine learning, big data and more, demonstrating our pedigree for delivering successful solutions to businesses across the world.
To discover what our data science business specialists at T-DAB can do for you, please contact us by email, post or submit a message below and book a discovery call today.
DATA POINTS ANALYSED
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.
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.