How Green Is Tech, Really? Energy has dominated the news the last couple of weeks. On the one hand, the Colonial Pipeline hack exposed the vulnerability of the networks t...
Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue, more often than not, it is likely r...
“If you make decisions based upon averages, at best, you’ll get average results” During the 1950s[1], United States Air Force pilots were having trouble...
What is Data Science and Machine Learning? Data Science Data Science is a broader concept and multidisciplinary. Data science is a general process and method that analy...
Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics...
The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on t...
Return to Work vs. Return to the Office Framing is a technique that communicators (and marketing people) use to push unstated, but heavily implied, messages into the disc...
Introduction One of the most useful applications of NLP technology is information extraction from unstructured texts contracts, financial documents, healthcare recor...
Orbit of the Riemann zeta function in the complex plane (see also here) Despite my long statistical and machine learning career both in academia and in the industry, I ne...
The Paths to AI There are three paths to “artificial intelligence” – algorithmic, heuristic, and inferential. Algorithmic learning is essentially progra...