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Artificial Intelligence

What Is MLOps? The Tools, the Meaning, and the Future

Without MLOps, machine learning developers can’t quickly deploy, automate, and maintain large-scale machine learning models without encountering huge costs, delays in project implementation, and poor performance. But if you’re powered

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Podcast

Podcast: VR in data exploration

Virtual reality, and augmented reality for data science Virtual reality (VR) is a computer-generated simulation of a three-dimensional image or environment that can be interacted with in a seemingly real

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Data science

How to Automate Data Cleaning

Data cleansing is eliminating or correcting erroneous, incomplete, redundant, or poorly formatted data from a dataset. Routine business operations and large system migrations can impact data reliability. Data cleansing and

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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.