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Last week was hackathon week at work. I decided to do an Azure Internet of Things (IoT) project to learn more about Azure’s IoT offerings.

App instrumentation generally involves significant manual effort, with application code invoking logging/metrics/tracing SDKs when…

A quickstart for the truly impatient

This post presents time series from a technical perspective, and presents two key challenges for time series analysis. It is based on the…

On teams, decision-making by dictator and by committee both suck. Dictators generate mediocre decisions quickly, and committees generate…

My team at work is building a time series anomaly detection system that automatically creates anomaly detectors to monitor application…

When building models for forecasting time series, we generally want “clean” datasets. Usually this means we don’t want missing data and we…

In my post Reducible vs irreducible error, I briefly explained how you can decompose prediction errors into reducible vs irreducible…

Suppose that we want to predict a value Y based upon a set X = (X1, X2, …, Xp) of variables. For the predictions to have any chance of…

Last week I wrote Evaluating anomaly detection algorithms with precision-recall curves, which explained one way of evaluating anomaly…

Ideally, we would like anomaly detection algorithms to identify all and only anomalies. But in reality this is easier said than done, as…

While Java/Fortran integration isn’t something I expect to have to do very often, I recently needed to do this, and so I figured I’d write…

Yesterday I wrote about how to do polynomial regression in R, and noted that it’s really a form of linear regression.

At first glance, polynomial fits would appear to involve nonlinear regression. In fact, polynomial fits are just linear fits involving…

When monitoring bookings, one common approach is to use historical levels as a baseline, and then alert if the current level is x% lower…

This post describes a way to model the midpoint of a time series involving seasonal and trend components. We’ll take a high-level look at…

Some years ago, my company did a leadership training event where they brought in an improvisation expert to help people practice the art of…

At Expedia we have a cultural norm called “One Team”. At a high level, the idea behind it is that as the company grows (and happily it has…

In Getting started with Tensorflow I mentioned that I’m taking a deep learning course by Tommy Mulc at Expedia. This week we covered…

I’m taking a deep learning course at Expedia, taught by my colleague Tommy Mulc. It’s fast-paced as we have more material to cover than we…