Ten cheatsheets for data science and machine learning
Data science is ever evolving, and with so many things going on it can be difficult to keep track of all the new libraries and algorithms. This is when it
Ten cheatsheets for data science and machine learning
Data science is ever evolving, and with so many things going on it can be difficult to keep track of all the new libraries and algorithms. This is when it
Podcast: Bullshit jobs in statistics
A recent article in the Significance magazine (https://www.significancemagazine.com/) raised the opinion that many statisticians are in roles that do not really add any value to society. If that’s true, then
Podcast: Dynamic pricing revisited
You probably know that dynamic pricing is one of my favourite topics. I have discussed about dynamic pricing in the past using the predict-and-optimise framework, and I’ve also talked about this here.
How AI and data science can help fight COVID-19
COVID-19: A global crisis The world is currently facing an unprecedented health crisis. The coronavirus known as COVID-19 has already taken the lives of thousands of people worldwide and has infected many more. At
Podcast: Blockchain in real estate
Blockchain has invaded many industries, and there are claims it is going to revolutionise everything, from finance to supply chains. Real estate is one such sector. However, some real estate
Understanding the Customer Journey Through Data
How much do you really know about the journey that a typical customer of your business takes to get to the stage of making a purchase? What are the main
Podcast: What do people really think about artificial intelligence?
AI is disrupting multiple industries and is becoming part of everyday life. So, it makes sense to try and find out what society thinks about it. With some many different
Why predictive maintenance is the next big thing in manufacturing
Maintenance is a fact of business for companies in many industries. Therefore, making the process more efficient is a key priority and has been for many years. This applies to
Thinking like a data scientist (without being one)
How to Think like a Data Scientist, Even If You Aren’t One if you want a data scientist – and have no inclination of becoming one – you might be
Podcast: Data science coaching
I have talked in the past about data science coaching. It is a new concept that blends together aspects of business coaching and data science consultancy. Data science is unique
What is anomaly detection, and why you need it.
An Introduction to Anomaly Detection and Its Importance in Machine Learning Data is becoming increasingly important in almost every conceivable field and area. From business and healthcare to law enforcement
Podcast: The AI transformation playbook
Andrew Ng is one of the biggest names in artificial intelligence. He published a guide which he calls the “AI transformation playbook” in which he outlines some of the principles
Free webinar by the Tesseract Academy!
As some of you might know, one of the companies I am involved in is the Tesseract Academy. The Tesseract Academy‘s mission is to educate the public, and especially decision
Review: The AI and Creativity Meetup in London
Review: The AI and Creative Meetup in London By Yasmin Chamchoun Last month, I was thrilled at the opportunity to attend The AI and Creativity Meetup event, hosted at the
Podcast: the core fields of data science
Data science consists of different sub-fields. This can be very confusing for newcomers. I’ve written in the past about things like the differences between AI and machine learning, or the
Join my exclusive data science program and get mentored personally by 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.