The last few years have seen an explosion of digital mapping on the web, but for some reason the cartogram has been largely left out. And it’s too bad because in ma...
I have been writing about the Crosswave Differential Algorithm for a number of years. I described in previous blogs how the algorithm emerged almost by accident while I w...
Contributed by David Richard Steinmetz. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to Sept...
I published a post about the current status of “Data Scientist” in Japan, as a periodic follow-up analysis since two years ago. Its trend still remains, but i...
Interesting survey produced by 365datascience.com, summarized in a few infographics, and based on LinkedIn profiles.. Summary: R (53%) and Python (53%) are the programmin...
Published in 2013, but still very interesting, and different from most data science books. Authors: Ian Langmore and Daniel Krasner.. This book focuses more on the stat...
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with sen...
This article was written by Paramita Ghosh. A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they...
Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in ...
You will find here nine interesting topics that you won’t learn in college classes. Most have interesting applications in business and elsewhere. They are not espec...