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So you want to become a data scientist? Okay, but you have much to learn padowan.  Barnes Analytics offers courses on everything that you need from basic computer programming skills, to advanced numerical optimization. Learn everything everything, become a master, […]

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Latest Blog

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 […]

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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 […]

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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 […]

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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

Photo by Campaign Creators on Unsplash

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

An example of goal seeking with dynamic optimzation

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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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