Can we predict Bitcoin prices using machine learning?
Bitcoin and machine learning Something that I’ve been asked a lot is whether it is possible to predict Bitcoin (or any other’s cryptocurrency’s prices) in order to make a profit. With the
Can we predict Bitcoin prices using machine learning?
Bitcoin and machine learning Something that I’ve been asked a lot is whether it is possible to predict Bitcoin (or any other’s cryptocurrency’s prices) in order to make a profit. With the
How to hire and manage data scientists (written by a data scientist)
Data scientists are special beast. I should know, since I am one of them 🙂 Hiring and managing data scientists is not an easy process. In this series of posts
How to read an ICO white paper?
White papers and ICOs The publication of a white paper have become something of a standard procedure in ICOs. When a startup is rolling out an initial coin offering, they outline the most
Is agent based modelling the best tool for tokenomics?
Agent based models have been around for a few decades now. One of the main methodologies behind the study of complex systems, the main idea behind ABMs is the modelling of systems
Transforming a city. Pittsburgh’s journey from rust belt to tech hub.
Visiting the city of Pittsburgh Recently, I had the opportunity to become a YTILI (Young Transatlantic Leader’s Initiative) fellow. YTILI is a program run by the German Marshall Fund and the State Department and cultivates relationships
Predicting Sports Outcomes Using Python and Machine Learning
I am very happy to announce that I have released a new course on Experfy! The course covers sports prediction and betting using machine learning. I am attaching the course description below. Contact me if
Quick Tips: Data analysis cheat sheets
With the rapid expansion of data science and supporting technologies it can become difficult to keep up with all new developments. There is always some new library for data analysis and machine learning for
Doing linear regression the right way
Linear regression is without question the most famous statistical algorithm. It is often the first algorithm that is being taught in machine learning courses and it is surprisingly effective in a
Data science in marketing: A tool for discovering the most successful online ads
In this post I am proud to show a piece of work done in using data science in marketing. This work was done in collaboration with Oren Greenberg from Kurve. A common problem in online advertising is identifying
What is the best way to learn data science?
Learning about data science With the increasing popularity of data science, there are now countless online tutorials on machine learning, data science and statistics, Python and R. Most of these tutorials follow the same pattern: learn some basic
Can data science be automated?
Something I have been asked in the past is the extend to which data science can be automated. We discussed in a previous post how machine learning and AI are automating other parts of
B2C startup? You need a recommender system!
The power of recommender systems Recommender systems are a powerful tool that is being used in order to predict the preferences of a user in order to make appropriate suggestions. I’ve
A new role in data science: The data science architect
Rise of the data science architect I believe there is a new role in data that businesses need to start taking into account, that of the data science architect. What is
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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.