“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...
As a data scientist in an organization you frequently find yourself in a couple of situations: you have a dataset, you want to extract some useful information you have a...
In a recent blog I stated that “Crossing the AI Chasm” is primarily an organizational and cultural challenge, not a technology challenge. That “Crossing the AI ...
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...
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...
This article was written by Bob Hayes. Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by...
Summary: For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for ML applicati...
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...