Crosswave Differential Event Model
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...
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We run faster than you: Factors affecting marathon results
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...
Who came up with the name Big Data?
Big Data has truly come of age in 2013 when Oxford English Dictionary introduced the term “Big Data” for the first time in its dictionary. That of course begs the que...
In Japan, "Artificial Intelligence" comes to be a super star while "Data Scientist" is fading away
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...
The New Face of Credit Card Fraud
You would think that I am going to talk about new levels of sophistication achieved by cybercriminals. No, here I discuss a different trend: Outright credit card fraud co...
The Typical Data Scientist Profile, in a few Pictures
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...
Free eBook: Applied Data Science (Columbia University)
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...
Anatomy of Chatbots
Introduction Natural language conversation is one of the most challenging artificial intelligence problems, which involves language understanding, reasoning, and the util...
3 Theorems on the Economic Value of Data
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...
A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning
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...