Bayesian inference is the re-allocation of credibilities over possibilities [Krutschke 2015]. This means that a bayesian statistician has an “a priori” opinion regard...
The recent release of BERT is one of the most pioneering innovations in the field of NLP, which is considered a way ahead of all other traditional NLP models. Let’s f...
As anyone involved in the developing world would tell you, the app’s UI is one of its most critical elements, if not the most important. After all, the design is one of...
“When I think back on all the crap I’ve learned in high school, It’s a wonder I can think at all” – Simon and Garfunkel, Kodachrome Growing up in the ’60...
Through exposure to the news and social media, you are probably familiar with the fact that machine learning has become one of the most exciting technologies of our time....
The picture below is from the article Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, posted here. Authors: Giang Nguy...
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...
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, 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 In the abundance of information, both machines and human researchers need tools to navigate and process it...