More Machine Learning Tricks, Recipes, and Statistical Models
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...
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DSC Podcast Series: AI and Machine Learning in 20 Minutes: The AI-Powered Supply Chain
With the recent global and regional socio-economic disruptions caused by the pandemic, industries such as retail, consumer products, manufacturing, pharmaceutical, and li...
DSC Weekly Digest 26 April 2021
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...
Why you should put Fixed Point Strategies in Your Toolbox
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
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 ...
DSC Weekly Digest 19 April 2021
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...
The Pros and Cons of RDF-Star and Sparql-Star
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 ...
Unleashing the Business Value of Technology Part 3: Envisioning Value
In part 1 of the 4-part blog series, “Unleashing the Business Value of Technology Part 1: Framing the Cha…”, I introduced the 3 stages of “unleash...
The Future of Medical Software Development.
2020 demonstrated how helpless humankind could be when facing an epidemic. It is clear now that healthcare systems in many countries need to be transformed. And this tran...
Model Training: Our Favorite Tools in the Shed
Welcome to the second installment of our ModelOps blog series, where we dive deep into the next step in the ModelOps pipeline, Model Training. During Model Training, we f...