Blog Archives

Deep Learning Dude pt 1

June 3, 2017
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Deep Learning Dude pt 1

You’ve probably noticed that Deep Learning is all the rage right now. AlphaGo has beaten the world champion at Go, you can google cat photos and be sure you won’t accidentally get photos of canines, and many other near-miraculous feats: … Continue reading →

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R Users Will Now Inevitably Become Bayesians

January 12, 2016
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R Users Will Now Inevitably Become Bayesians

There are several reasons why everyone isn’t using Bayesian methods for regression modeling. One reason is that Bayesian modeling requires more thought: you need pesky things like priors, and you can’t assume that if a procedure runs without throwing an … Continue reading →

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Where’s the Magic? (EMD and SSA in R)

September 17, 2013
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Where’s the Magic? (EMD and SSA in R)

When I first heard of SSA (Singular Spectrum Analysis) and the EMD (Empirical Mode Decomposition) I though surely I’ve found a couple of magical methods for decomposing a time series into component parts (trend, various seasonalities, various cycles, noise). And … Continue reading →

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Fun with R and HMM’s

August 14, 2013
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Fun with R and HMM’s

I’m always intrigued by techniques that have cool names: Support Vector Machines, State Space Models, Spectral Clustering, and an old favorite Hidden Markov Models (HMM’s). While going through some of my notes, I stumbled onto a fun experiment with HMM’s … Continue reading →

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Electricity Usage in a High-rise Condo Complex pt 4

July 24, 2013
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Electricity Usage in a High-rise Condo Complex pt 4

This is the fourth article in the series, where the techiness builds to a crescendo. If this is too statistical/programming geeky for you, the next posting will return to a more investigative and analytical flavor. Last time, we looked at … Continue reading →

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