It’s time again to share your predictions for 2017. I did my homework and came with these 10 predictions. I invite you to post your predictions in the comment secti...
People change jobs, get promoted and move home. Companies go out of business, expand and relocate. Every one of these changes contributes to data decay. It’s been sai...
Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry. Here is an i...
This infographic came from Medigo. It displays data from the World Health Organization’s “Projections of mortality and causes of death, 2015 and 2030”. The report d...
By visually accessible, I mean that you don’t see the title, but instead, the top picture contained in each tweeted article, as illustrated below. It allows you to ...
A recent article in Techcrunch describes Twitter and Facebook issues: algorithms unable to detect fake news or hate speech. I wrote about how machine learning could be im...
This article was posted by Ryan Swanstrom on Data Science 101. Ryan is helping the world learn data science at Microsoft. The differences between Data Scientists, Data ...
Guest blog by Chris Rigatuso. Chris is Founder and Board Member at the Skyfollow Consulting Group. He earned his MBA from the Haas School of Business (UC Berkeley), and l...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
While it is easy to find salary surveys for data scientists and related professions both at the junior and senior level, broken down per location and skills set, very fe...