A lot of data in the real world can be represented as graphs: you have nodes connected through edges. For example, you are a node in a graph where friendships are edges. I recently met with professor Semih Salihoglu, an expert in graph algorithms and databases. We... Read more

As an Applied Data Scientist at Civis, I implement the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive exPlanation) values, allowed us... Read more

I have done roughly 2,000 interviews in my life. When I started recruiting, I had so much confidence in my ability to assess people. Let me just throw a couple of algorithm questions at a candidate and then I’ll tell you if they are good or... Read more

What is a time series analysis in data science? How can you construct an effective time series analysis? What does feature engineering have to do with time series analysis? These questions and more were many of the talking points from the talk by Michael Schmidt, PhD,... Read more

What will Bitcoin do When asked what the stock market will do, J.P Morgan replied “It will fluctuate.”. If we could hypothetically ask Mr Morgan another question, very popular these days, I bet his answer would be “It will fluctuate a loot”. Of course, the question is... Read more

A non-technical guide to k-NN algorithm and its application on forecasting, from a project planning point of view, and for beginners. Introduction The intended audience for this short blog post are data science practitioners who seek to implement predictive algorithms in a business-project-based setting, with special... Read more

This is the fourth article in a series about changes in support for gun control laws over the last 50 years. In the first article I looked at data from the General Social Survey and found that young adults are less likely than previous generations to support gun... Read more