Summary: Looking for your next job in an early stage company but want to make sure your startup has staying power. Follow the expert rankings by CB Insights that also...
Data Dictionary to Meta Data III is the third and final blog devoted to demonstrating the automation of meta data creation for the American Community Survey 2012-2016 hou...
Data scientists spend 80% of their time preparing and cleaning their data. They spend the other 20% of their time complaining about preparing and cleaning their data. Thi...
When our customers ask us what the best data warehouse is for their growing company, we consider the answer based on their specific needs. Usually, they need nearly real-...
I described here a strange type of function, that is nowhere continuous but relatively easy to integrate using probabilistic arguments. I call it the fractional part of ...
Statistical Analysis is a way of collecting, presenting and exploring large amounts of data in order to discover underlying patterns and trends. It can be especially usef...
This article was posted by Ingrid Daubechies on Quanta Magazine. Ingrid is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke Un...
“Eat Mor Chikin” might be its customer-facing slogan but, internally, maybe Chick-fil-A’s motto should be “Consume Mor Analytics.” The popular restaurant chain ...
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...