Event Conceptualization & Distribution Modelling
In a recent blog, I described the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders as an ontological reference. I explained ho...
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NeurIPS 2019 – analysis of papers by themes
You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From Chip Huygen – neurips 2019 analysis and from David ...
Predictive Analytics vs Prescriptive Analytics in one picture
Predictive analytics, prescriptive analytics and the fairly recent offshoot– discovery analytics– can all support business decision making. Although the three...
Ontologies and Semantic Annotation. Part 1: What Is an Ontology
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: Will Artificial Intelligence make us all into Polymaths in the future?
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...
Business Intelligence: Its Impact on the Pharmaceutical Industry
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...
Which one is faster in multiprocessing, R or Python?
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...
How is IoT Supporting Various Oil & Gas Industrial Operations?
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...
Seven differences between academia and industry for building machine learning and deep learning models
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 ...
Bayesian Methods and Networks in classical and quantum physics
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...