Anyone who has followed that last few presidential elections has seen how easily data can go from a hero to a zero. Nate Silver was a genius when his model and analysis s...
Guest blog by Dr. Prashanth Southekal. Prashanth is an experienced technology professional who understands what it takes to run efficient technology based solutions, p...
Understanding that big data comes from such a huge pool of devices, constantly collecting new data, gives you an idea where security threats may come from. Each device th...
originally posted by the author on Linkedin : Link It is very tempting for data science practitioners to opt for the best known algorithms for a given problem.However...
This article was written by Joseph Rickert. We all “know” that correlation does not imply causation, that unmeasured and unknown factors can confound a seem...
This article was written by Hannah Augur. Hannah is a writer, editor and nerd based in Berlin. She’s a researcher with knowledge and work in a variety of fields, i...
This article was written by Eric Siegel. Eric, Ph.D., is the founder of the Predictive Analytics World conference series, executive editor of The Predictive Analytics T...
Contributed by Aiko Liu. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is ba...
Relax: Automation isn’t coming for your job By Justin Tenuto For the past few years, the drumbeat of think pieces about automation taking your job–yes,your job�...
The online world isn’t as simple as we’ve thought it to be. Behind the seemingly quiet and vast space of nothingness, huge amounts of data are uploaded and do...