Most of us, unless we’re insurance actuaries or Wall Street quantitative analysts, have only a vague notion of algorithms and how they work. But they… Read More »‘Rogue Algorithms’ and the Dark Side of Big Data
This article was written by Joseph Rickert. We all “know” that correlation does not imply causation, that unmeasured and unknown factors can confound a seemingly… Read More »How to find out if it's correlation or causation
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them… Read More »Concise Visual Summary of Deep Learning Architectures
My favorite quote on Big Data is by Dan Ariely who says “Big Data is like teenage sex, everyone talks about it, no one really knows how… Read More »Beyond the Hype of Big Data
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… Read More »Beginner's guide to the history of data science
This article was posted by Roger Huang. Roger Huang heads up growth and marketing at Springboard. He broke into a career in data by analyzing $700 million worth… Read More »Every Data Science Interview Boiled Down To Five Basic Questions
Summary: Are there large, sustainable career opportunities in AI and if so where? Do they lie in the current technologies of Deep Learning and Reinforcement… Read More »Finding Career Opportunities in AI
There are a lot of things that can happen in just one minute, just ask the distraught owner of the Shelby Mustang GT 500 who… Read More »What Happens in 60-Seconds Online? – Infographics
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing. Shopper marketing focuses on the… Read More »Shopper Marketing -Infographic
Contributed Article from MIT Professor Devavrat Shah. According to analyst firm IDC, the amount of data being generated in our digital universe is expected to… Read More »How can organizations successfully convert big data into real-world decisions?
