MonthJuly 2014

The voodoo doll

This is a really quick one. I going through my electronic stuff looking for god knows what and discovered that I had some photo-resistors. So I decided to make a little prank for my room-mate (if you can call that a prank).

Because you see, he has such a charming “doll” (kinda) hanging on his wall.

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As you might have guessed from the picture, I want to give this marvel a pair of shiny red eyes. But since want the battery to last as long as possible (and play with a photo-resistor), they need to be made them so that they will only turn on at night.

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Let hit beat project

I often go during the weekends to a festival in Montreal called the piknic electronic. Basically a bunch of people enjoying good music (well, depending on your tastes) in front of the St Laurent and a beautiful skyline.

I was looking for a project that would lead me to play around with LEDs and the lilypad so I began thinking of a way to display the emotion felt when you are dancing and reacting to the music. Thus came the idea of a sweatshirt with embedded leds that would react to the wearer’s cardiac rhythm (I was strongly influenced by this project).

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Playing around with neural networks – Python version

In my last post I said that I would try to replicate the code in Python. Well here it is.

It is a first attempt, and unfortunately the predictive power of the network thus created is awful (it’s even worst than a random guess…). I need to explore more deeply the options of the module in order to understand where lies the difference between the network created in R and this one.
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Playing around with neural networks and R

I was recently confronted through my work to a classification problem : given a set of explanatory variables, which category a player will most likely end up in (I work in the videogame industry).

To be frank, my statistical knowledge was a little rusty since I have been doing web-dev for a year (unfortunatly stats are not like riding a bike : you do forget after a while). So I ended up doing a quick litterature review in order to list the tools that could help me with this task.

I began with a logistic regression but wasn’t that happy with the accuracy of the result and the implementation was not that easy due to the high volume of data I was dealing with.

Through my readings, I came in contact with various techniques of machine learning and was eager to try them out. I’ve heard about it in the paste but it seemed like a mystical and out of reach corner of computer and information sciences.

And I was wrong. It’s accessible, it works and it’s a lot of fun (well, data-scientist-kinda-fun). What follows is my naive attempt at solving a problem that puzzled me for a while somehow : automatic shape recognition. I mean, how long did it took us as kids to be able to put those damn educational toys into the rightly shaped slot ? Well, quite a long time after all…
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