Anyone who has taken a slightly rigorous statistics class will have bumped into these probability distributions before. What I want to focus on is giving an overview of each of these probability distributions, when they are useful, and what you […]
Covid-19 has really shaped our world in ways that I wouldn’t have expected just 6 months ago, which feels like a lifetime ago. I personally have been hiding out my garage for the past few months. Time seems to have […]
I love being a data professional. I mean, my job is to literally look at the data and figure stuff out. I’m supposed to come up with cool insights. I also get to tell the story of how a business […]
I’m actually really excited to talk about this . It has been in the works for awhile now. Weekends and evenings of non-stop hacking with a two week push to get this out the door. It feels like it has […]
This post is all about causality. In data science we are often concerned with simple correlations. As someone trained in econometrics, as any one can tell you, the key thing that you should be concerned with is causality. We are […]
As you may know from last week I have been thinking about stochastic differential equations (SDEs) recently. As such, one of the things that I wanted to do was to build some solvers for SDEs. One good reason for solving […]
Recently, I’ve been reading up on stochastic differential equations. I’ve had some ideas on some projects at my day job, and quickly realized that I would need to write down some evolving processes that were inherently stochastic, thus why I’ve […]
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 […]