Posts
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Simulating Traffic Jams
The Monte Carlo method is one heck of a Swiss Army Knife. It’s used in nearly any field where quantitative predictions are needed, from engineering and finance to statistics and physics. As a matter of fact, I was even making a living with large-scale Markov Chain Monte Carlo simulations for a while. But that’s not what I want to talk about today. Instead, we’ll be talking about stop and go traffic. Let me explain.
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Don't despair!
Hi internet! I know it’s been a while since our last data adventure. I am currently quite busy having a full-time job and teaching a data science course at the university of Oslo with the catchy name STK-INF4000. This means three things.
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Can't Buy Me Love: Hacking Dating Site Profiles
DISCLAIMER
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Anomaly Detection in R: Euro 2016 Edition.
I’ve been working a fair bit with anomaly detection in the last months, and browsing through Andrew Ng’s excellent machine learning course, I was curious to try out his anomaly detection algorithm. It reads a bit like this:
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Degrees of Rudi Völler - Neo4j Edition
Graph databases are the new hot thing. Actually not so new. IBM, among others, has been toying with them since the 1960s. In recent years they have been popularized through social media analysis and people have realized that they can be used for a lot of other interesting things like, but not limited to:
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What Does It Take To Win The Euro 2016?
A tale of goals, passes, web scraping, and being the only German who is not into Soccer.
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IoT 101 - Part 3: Dynamic Web Pages with AngularJS, Kafka and Flask
In the last two episodes, we talked about creating a simple IoT-like service, using Kafka to produce and consume messages in real-time and Flask to create a REST API to allow us producing messages via HTTP and consume them using server-sent events (SSE). In the end, we managed to get our messages pushed to clients using SSE, and now it is time to have a closer look at the client code.
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