Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind. Transfer Learning (TL), a method of reusing pre...
There are a lot of articles about how to use Python for solving Machine Learning problems, with this article I start series of materials on how to use modern C++ for solv...
Developments in Artificial Intelligence (A.I.) are happening faster today than ever before. However, the nature of progress in A.I. is such that massive technological br...
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...
On 3 Dec 2018 when the US treasury yield curves inverted (a short-term US government bond yield is higher than its long-term yield), Economists quickly warned the stock m...