Erica Stanford from Cryptocurry Club on cryptoscams!
Erica Stanford is the CEO of the Crypto Curry Club. She spent all of the lockdown of 2020 doing research into crypto scams and she is about to publish a
Erica Stanford from Cryptocurry Club on cryptoscams!
Erica Stanford is the CEO of the Crypto Curry Club. She spent all of the lockdown of 2020 doing research into crypto scams and she is about to publish a
Data architecture and its significance
In a world that is driven by data and digital transformation it is absolutely vital that businesses have the right infrastructure, data strategy and solution set up early-on. This is
What is the fastest way to solve a machine learning problem?
Solving machine learning problems Solving a machine learning problem can be a daunting affair for beginner data scientists. There are simply so many algorithms to choose from! Simply go to
Business models in data science and AI
Artificial intelligence and data science are taking the world by storm. While investing keeps pouring in, businesses try to figure out what is the best business model to follow. This
Models for Understanding Organisational Culture – 30th of September 2021
Culture, especially data culture, is one of the topics that excites the Tesseract Academy. Whether it is hiring, managing or something else, the right culture can make or break an
Podcast: Blockchain analytics with Freddy Zwanzger
Blockchain and data science are two of the hottest technologies right now. It is not often that you hear about both of them being used in tandem. However, one company
Artificial Intelligence In Big and Smaller Companies
Artificial Intelligence is eating the world Technological advancement and digital innovation in the last few years have been instrumental in defining the success of businesses. Artificial Intelligence (AI) has made
DeFi techniques: Methods and tools for decentralised finance
Decentralised finance (DeFi) has become one of the most popular sectors of blockchain. The goal of DeFi, in brief, is to create a blockchain-based financial system without any intermediaries. Some
Why so many statistical models are wrong
Problems in statistics Something which often frustrates me is seeing how many statistical models are wrong. I am referring to scientific journals, but also commercial models. Something which you’re going
Thinking of Hiring a Data Scientist? Not as simple as it sounds…
CEOs and decision makers are increasingly realising that to in order to progress and keep up with their competitors they will need to start making data-driven decisions. Therefore, this has
Podcast interview: Low-code, no-code, and AI with Andy Zambito from Creatio.com
Is no-code and low-code the future of tech? This is something I have discussed in the past on The Data Scientist. I believe that as computer science progresses, we witness
Anomaly detection in Python using the pyod library
Getting started with anomaly detection Anomaly detection is one of the most interesting applications in machine learning. While anomaly detection can be done in a both supervised and unsupervised manner,
Event: Supply chain, blockchain and AI: how can enterprises prepare?
In modern enterprises, supplier data is handled by multiple departments, and manipulated by siloed processes and disparate systems of governance. Within procurement, supply chain professionals are faced with the challenge
Event recording: AI and creativity meetup Bitclout edition! – 9th of August 2021
This is the recording of the AI and Creativity meetup held on the 9th of August 2021 On the panel we had: 1) Randhir Hebbar, Serial Entrepreneur, Founder of Convergytics
Podcast feature: That Tech Show – The Data Scientist with Stylianos Kampakis
I had the chance to be featured on a very interesting podcast the other day where I had the opportunity to talk about all kinds of topics such as:
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.