Understanding Bayesian networks and statistics (part2): Graphical models and applications

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Understanding Bayesian networks and statistics (part2): Graphical models and applications

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Graphical models and Bayesian statistics are two very important methods in data science. This v

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About Dr Kampakis

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, a data science advisor for London Business School and CEO of The Tesseract Academy.

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Thank you for this clear explanation! I've struggled through my class lecture slides and a couple articles, but this is a much better overview to get me started. Thank!

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