Data science is the ‘digital’ form of applied statistics. When we say ‘digital’, we refer to the concept of applying statistical techniques in terms of human-read...
Guest blog post by Charlie Silver, CEO of Algebraix Data. Originally entitled ‘Data Algebra Does Big Data’. Algebra is powerful. It enables people to solve...
Guest blog by Justin B. Dickerson, PhD, MBA, PStat, Chief Data Scientist at Snap Advances. Okay, that headline was meant to get your attention. But lately, I’ve b...
Open data has several definitions but our preferred one at Data To Value is from the Open Data Institute – ‘Open data is data that anyone can access, use and share.�...
Background knowledge attack uses quasi-identifier attributes of a dataset and reduce the possible values of output sensitive information. A well-known example about backg...
What is the best way for getting started in Statistics for Programmers/Data Science? I am often asked this question: What’s the best way for getting started in Statisti...
This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice is being ...
You have gathered gigabytes or terabytes of unstructured text, for instance scraping the Internet, or pieces of email from your employees or users, or tweets, or millions...
And creates the first legit, private lottery company. The winning numbers, to be published each week, are just as random and unpredictable (if not more) than winning numb...
If you are a start-up director in 2016, not a week goes by without someone talking to you about unicorns. It is difficult to imagine the feeling of riding a unicorn. Do y...