This article was posted by Ingrid Daubechies on Quanta Magazine. Ingrid is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke Un...
“Eat Mor Chikin” might be its customer-facing slogan but, internally, maybe Chick-fil-A’s motto should be “Consume Mor Analytics.” The popular restaurant chain ...
Guest blog post by Edward Chenard, Contributor at DataScience.com. I’ve had several conversations recently with people I know in the data science space that always ...
Guest blog post by Michael Li, Head of Analytics and Data Science at LinkedIn. I’m sure everyone who has been following tech industry news knows about “big data” an...
This is our second post in this sub series “Machine Learning Types”. Our master series for this sub series is “Machine Learning Explained”. Unsupervised Learning;...
My blog last week articulated a first shot at automating the creation of meta data for the American Community Survey 2012-2016 household data set, using its published d...
Written exclusively for Data Science Central, by Vincent Granville. These articles are intended for non-experts, written in simple English, and particularly suited for pr...
Cambridge Analytica was caught tampering with elections by exploiting Facebook, but chances are that this is the tip of the iceberg, and that many others, including scamm...
The answer to this question is not black and white, and also depends on where you live, what you did during your PhD program, how much time and money you spent on it, wha...
Ajit’s research is focused on Data Science for IoT. He teaches the same at Oxford University and UPM in Madrid (@forumoxford + @citysciences). Ajit is also launchin...