Neuromancer Blues” is a series of posts where I would like the reader to find guidance about overall data science topics such as data wrangling, database connectivi...
Graph algorithms such as PageRank, community detection and similarity matching have moved from the classroom to the data scientist’s and business analyst’s to...
There are a few key differences between the Binomial, Poisson and Hypergeometric Distributions. These distributions are used in data science anywhere there are dichotom...
With mathematical optimization, companies can capture the key features of their business problems in an optimization model and can generate optimal solutions (which are u...
Augmented Analytics is no longer the future – it’s now. The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there�...
Summary: Now that you have a little time for introspection, how about reviewing the performance of your chatbots. Chances are this lock down period has given you a litt...
The term “digital transformation” has been around now for a couple of years. Like so many such terms, it was something of a neologism, a phrase much like Big ...
This article was written by Daniel McAuley. I recently had the pleasure of speaking on a few panels about analytics to my fellow MBA students and alumni, as well as many ...
As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at g...
Summary: COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI strategies need to thoroughly reviewed and pr...