Source: here Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back in the nineties, ...
We are now ready to wrap up the four-part series on how technology vendors especially data and analytic technology vendors (and what technology vendors are not invol...
SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often is not utilized anywhere near as ...
Source for picture: here The first part of this list was published here. These are articles that I wrote in the last few years. The whole series will feature articles rel...
With the recent global and regional socio-economic disruptions caused by the pandemic, industries such as retail, consumer products, manufacturing, pharmaceutical, and li...
Connectedness and NFTs One of the more fascinating things about data, especially as you gather more and more of it together, is the extent to which information is connect...
Fixed point strategies can approximate infinite depth. The methods are easy to train/implement. This essential set of tools can model and analyze a wide range of DS probl...
Fixed point strategies give a unifying framework to analyze, model, and solve a wide range of problems. The methods are easy to train/implement, yet can approximate ...
Becoming A Data Society Data has always been an integral part of computing, but it has only been in the last decade or so that we have reached a point of data ubiquity. W...
For regular readers of the (lately somewhat irregularly published) The Cagle Report, I’ve finally managed to get my feet underneath me at Data Science Central, and ...