The Data Scientist

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gpt2-self-attention-scoring-2
Podcast

Podcast: GPT and the nature of intelligence

Advances in natural language processing and deep learning make us question what is the meaning of intelligence. I was recently reading this very interesting article by the gradient: https://thegradient.pub/gpt2-and-the-nature-of-intelligence/ . The article refers to GPT2, but with GPT3 already, the questions it poses are more relevant than ever. On this Read more…

By , 2 yearsDecember 1, 2020 ago
ai and marketing and data science
Data science

The data science, AI and marketing lockdown meetup

A meetup for both data scientists and marketers As some of you might know I am the administrator of the Data Science and Marketing Meetup. I find marketing fascinating, partly because there is so much data in marketing. This makes it ideal for applications of data science and AI. I Read more…

By , 2 yearsNovember 24, 2020 ago
Artificial Intelligence

What’s the issue with sentiment analysis?

Mining opinions on the web Sentiment analysis is one of the most successful and widespread applications in natural language processing. However, for all the hype it has generated since its inception, there are still many issues associated with it. In my work with Brandtix and other startups I had the opportunity Read more…

By , 3 yearsMarch 29, 2019 ago
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About me

Dr Stylianos (Stelios) Kampakis is a data scientist with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups to organisations like, the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech (fraud detection and valuation models), 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 blockchain and he has 2 patents pending to his name.

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

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.

He was also one of the first researchers in the area of blockchain to study and discuss tokenomics. His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory.

A natural polymath, with a PhD in Machine Learning and degrees in Artificial Intelligence, Statistics, Psychology, and Economics he loves using his broad skillset to solve difficult problems and help companies improve their efficiency.

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The Data Scientist, 85 Great Portland St, London W1W 7LT, United Kingdom
 

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