Ontologies and Semantic Annotation. Part 1: What Is an Ontology In the abundance of information, both machines and human researchers need tools to navigate and process it...
AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact of technology has been highlighted b...
Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the curve, to properly leverage t...
This post is the third one of a series regarding loops in R an Python. The first one was Different kinds of loops in R. The recommendation is to use different kinds of lo...
The heightened technological development in the 21st century would not have been possible without the contribution from the oil & gas sector. Our dependence on the cr...
Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences 1) Approach to accuracy: When you are in ...
I recently came across this wonderful list of classical Bayesian network articles posted by Vincent Granville, here. To cover the quantum bayesian side of things, here is...
By Faruqui Ismail and Nooka Raju Garimella Reporters with various forms of “fake news” from an 1894 illustration by Frederick Burr Opper We’ve always pictur...
How to know which AI/ ML algorithm to apply to which business problem? This is a common question I found a good reference for it – Executive’s guide to AI by Mc Ki...
The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed o...