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...
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...
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...
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...
Introduction Natural language conversation is one of the most challenging artificial intelligence problems, which involves language understanding, reasoning, and the util...
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 ...
Sad news about the Theano framework. Here is the announcement that some developers found in their mailbox two days ago. Dear users and developers, After almost ten yea...