Learn to deal with strings in pandas.
Some thoughts on strategic thinking in the world of data science. Here are 3 questions to kickstart your strategic thinking.
So last week I wrote about using dynamic optimization to understand how we should optimally respond to the global covid-19 crisis. This week, I wanted to take a step back and talk about the python package that made that all […]
Last week, I mentioned that even with all of our social distancing efforts, here in the great state of Utah, we would still overwhelm the medical system. It was kind of a bleak grim reminder that we are dealing with […]
I was sitting here, at home, locked away, being socially distant, and I got to thinking, “What is the point?” So I started to read a bunch about the data, and the algorithms, and the point behind social distancing. I’ve […]
Over the past few months I’ve had a thought coalescing in my brain. It has been swirling around banging up against the inner portions of my skull. With each collision with my head, and with other ideas, and situations I […]
One thing that I have been thinking a lot about since I wrote my chapter on matrix factorization methods, and since I am currently writing a chapter on graph theory is on the idea of a recommendation engine. (If you […]
Yep, we’re going there. Which football team is the best? Well, ask any fan and they are going to tell you that it is their personal favorite. But we are data scientists. Surely, we can do better! And of course, […]
Principal components analysis is all about rotating data. That is all that it does. I know that sounds simple but the algorithm itself is designed to find the best rotation such that most of the variation lies along one axis […]
In my last blog post, I asked the question, “Can Mia Love hold her congressional seat?” And based off of a single poll, the answer was grim for Mia Love, there is only a one in five shot that she’ll […]