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Data science

Which sports can be predicted? Part 1

Sports analytics and sports predictions In sports analytics there is quite often discussion about which sports are easier to predict. The truth is that there is not a clear answer. Since this

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Data science and AI for decision makers

Creating a data-driven culture

The importance of a data-driven culture With the world around us being more and more data-driven, organizations are trying to catch-up. One of the most interesting challenges for organizations which

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Machine learning

Teaching a deep neural network to play Go

Deep learning against humans Creating machines that can perform tasks better than humans has always been the dream behind artificial intelligence. A London-based company called DeepMind, had a breakthrough in 2015,

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Machine learning

Types of priors

Joshua Bengio published a couple of years ago a very interesting paper on representation learning. The paper is entitled “Representation Learning: A Review and New Perspectives“. In this article he does

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Artificial Intelligence

Marvin Minsky: Reflections on AI research

Marvin minsky: one of the fathers of artificial intelligence Marvin Minsky (who passed away in 2016) was one of the founding fathers of Artificial Intelligence. Some of his achievements include a

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Machine learning

Neural networks tips and tricks

Deep neural networks can be complicated to understand, train and use. Deep learning is still, to a large extent, an experimental science. This is why getting some input on the

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About me

Dr Stylianos (Stelios) Kampakis is a data scientist and tokenomics expert with more than 10 years of experience.

He has worked with companies of all sizes: from startups to organisations like the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech, sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others.

He has worked with many different types of technologies, from statistical models, to deep learning, to large language models. He has 2 patents pending to his name, and has published 3 books on data science, AI and data strategy.

He has helped many people follow a career in data science and technology.

His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory.

He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, the Cyprus Blockchain Centre, a data science advisor for London Business School and CEO of The Tesseract Academy.