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Category Archives: Miscellaneous
Example of Calculating the Energy Distance Between Two Samples
I stumbled across an interesting idea called energy distance. Energy distance is a number that is a measure of the distance between two distributions. There are many other ways to define the distance between two distributions. The KullbackLeibler divergence is … Continue reading
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Great Technology in Vegas That Fails Because It’s Too Good
I noticed an example where great technology is rendered useless because of a lack understanding of human psychology. My story takes place in Las Vegas. I was there speaking at a conference. Before I explain, it’s important to know that … Continue reading
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Examples of Python Colormaps for Surface Plots
I was sitting in an airport recently, waiting to board a plane to fly to a conference. I wanted to make use of the time so I decided to review the different colormaps for use with Python matplotlib 3D surface … Continue reading
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Example of Kernel Density Estimation (KDE) Using SciPy
I was chitchatting with a colleague a couple of days ago and the topic of kernel density estimation (KDE) came up. The first hurdle when trying to understand KDE is figuring out exactly what kind of problem the technique solves. … Continue reading
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JensenShannon Distance Example
The JensenShannon distance measures the difference between two probability distributions. For example, suppose P = [0.36, 0.48, 0.16] and Q = [0.30, 0.50, 0.20]. The JensonShannon distance between the two probability distributions is 0.0508. If two distributions are the same, … Continue reading
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Whatever Happened to Percolation Theory?
Many years ago I was quite interested in mathematical percolation theory. But over the past 10 years or so I haven’t seen many new research papers published on the topic. This figure illustrates some of the main ideas of percolation: … Continue reading
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The Birthday Paradox
If you have 70 people in a room, what is the probability that two or more of them have the same birthday? Most people guess something like 70/365 = 0.19 or 19%. But amazingly, the probability is 0.9990 — almost … Continue reading
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A Quick Look at the Oqtane Framework
Oqtane is an open source framework for building Web applications based on Microsoft .NET Blazor technology. Whoa. That’s a lot to grok. It’s not all that difficult to create a Web application using basic HTML, CSS, and JavaScript. But there … Continue reading
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Using BuiltIn Library Functions vs. Using A Custom Function
I ran into some code that made me think about the nature of coding and computer science. I was reviewing some PyTorch documentation example code and saw a statement that looked something like: foo = torch.tensor(foo[:1]).cumsum(dim=0).to(device) From the context of … Continue reading
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Scott’s Pi for InterRater Reliability
Scott’s pi is one of many classical statistics metrics that can be used to measure how well two raters agree when they rate a set of items. Scott’s pi, like other interrater reliability metrics, is used for a very specific … Continue reading
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