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US Economic Outlook 2025
With the 2024 election in the rear view mirror, we have a better picture of what policy for the next few years is going to look like. As such, we have a better idea on what to expect from the US economy over the next few years. That has largely colored my analysis this year.…
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Causality, a Brief Note
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 often worried not about correlations; correlations lie. We want to get at causality. Causality is…
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Solving Stochastic Differential Equations in Python
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 these SDEs numerically is that there is (in general) no analytical solutions to most SDEs.…
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Stochastic Differential Equations and Econometrics
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 been reading up. This post will be short, and for more advanced readers may even…
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Dealing With Strings in Pandas
Learn to deal with strings in pandas.
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Strategic Thinking in Data Science
Some thoughts on strategic thinking in the world of data science. Here are 3 questions to kickstart your strategic thinking.
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Dynamic Optimization For Solving Business Problems
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 possible. It is a nice little package called gekko. As an aside, make sure to…
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Optimal Control to The Rescue! Saving Us From Covid-19!
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 the specter of impending death. Fortunately, COVID-19 is no black plague. Deadly, sure. Incurable, at…
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The Grim Reality of COVID-19
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 got good news, and I’ve got bad news about our new national pass time of…
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What’s Wrong with Data Science Blogs (Including This One)
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 find myself, this idea has been taking shape. It has been forming into the seeds…
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Deep Learning Based Recommendation Engines using Keras
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 want to get the book free as I write it click here) They have become…