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...
Predictive Analytics Techniques in One Picture
Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling method is perhaps the mo...
Top NLP Algorithms & Concepts
Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical...
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...
A Question of Usability
Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science ...