Marvin Minsky: Reflections on AI research
Marvin minsky: one of the fathers of artificial intelligence Marvin Minsky (who passed away in 2016) was one of the founding fathers of Artificial Intelligence. Some
Are some probabilistic concepts inherently difficult for humans to get?
https://en.wikipedia.org/wiki/Monty_Hall_problem
Neural networks tips and tricks
Deep neural networks can be complicated to understand, train and use. Deep learning is still, to a large extent, an experimental science. This is why
Statistics vs Machine Learning: The two worlds
The differences between machine learning and statistics Machine learning and statistics are the two core disciplines for data analysis. Both fields provide the scientific background
Performance Measures in Predictive Modelling
Issues with performance measures in machine learning When testing a predictive model, choosing the correct performance measure is imperative for making sure our model works correctly.
Standardising data science One of the main problems in data science practice is the lack of standardisation regarding procedures and techniques. Coming out of education
My name is Stylianos (Stelios) Kampakis and I am a data scientist. I have been academically active in the area of data science for around
Data science is the interdisciplinary field that uses scientific methods, and algorithms, to extract valuable insights and knowledge from data.
AI, refers to the development of computer systems capable of performing tasks that typically require human intelligence, .
Machine learning involves training computer systems to improve their performance on a specific task through data-driven algorithms and without explicit programming.
Blockchain is a decentralized and distributed digital ledger technology that records and verifies transactions across multiple computers, enhancing transparency and security.
It is impossible to become a data scientist without programming. However, you don’t have to be a data scientist to use data science!