Kevin Smeyers

Kevin Smeyers is the current Machine Learning architect at ToThePoint Group. Machine Learning and AI is a specialty he picked up again since his days as a computer science student--after having gained various experiences in multiple other IT domains. Passionate about finding the fun side in things, he continued building up a track record in experimenting with a combination of IoT and Machine Learning. Always looking for the algorithm behind the algorithm, it comes as no surprise that Kevin is a speedcubing fan with a personal best of 32 seconds. As an enthusiastic hobbyist with a job, he’s eager to talk about his passion.

Travelling with a prototype

How to present an IoT prototype in a foreign conference? As you probably noticed already, I had the honour of making a presentation during the ‘AI & Computer Systems track at the Applied Machine Learning Days (#AMLD2019) in Lausanne.  The conference was great fun, with quality speakers, interesting content and a beautiful venue. In this …

Travelling with a prototype Read More »

Arcadekast tornooi data verzamelen voor machine learning

ToTheArcade: the architecture

Okay, went on a small vacation in between, so this blogpost took a little longer to write since me and the kids were busy mastering our best splash in the hotel swimming pool. Where was I?  Right, preprocessing: check, features: check, our models: check, so now it’s time to put these bad boys into production. …

ToTheArcade: the architecture Read More »

Machine learning

ToTheArcade: diving into the models

Since the last blogpost, I left my feature engineering journey behind and can now finally can start looking at some models. No Free Lunch Theorem During my Machine Learning journey, I looked at 3 models  (‘she’s a model and she’s looking good…’ – Kraftwerk). Why we didn’t stick with only one? Well, in Machine Learning …

ToTheArcade: diving into the models Read More »

code on screen

ToTheArcade: Feature Engineering

Last blogpost we discussed the problem and we started working a bit on describing our task environment. To summarize: We structured our data, got rid of the noise, and already identified some difficulties we’ll have to cope with.  More precisely, the task environment for our classification agent is quite complex, because of the many unknown …

ToTheArcade: Feature Engineering Read More »

Machine learning case study

ToTheArcade: setting goals and determining data

Ok, last post was a bit of an introduction… let’s cut the fat of our last blogpost and cut to the chase in this one. We set ourselves a clear goal “Can we train a model to recognize patterns in button and joystick usage on our pimped arcade machine cabinet, deploy it in the cloud …

ToTheArcade: setting goals and determining data Read More »

Machine learning case study

ToTheArcade: the project

Ok, everybody is talking about Artificial Intelligence and Machine Learning, interchangeably and most of the time just confusing people. First of all, they are not the same concepts.  AI is a very large area covering a bunch of topics and Machine Learning is just one of them. Artificial Intelligence Vs Machine Learning There are articles and …

ToTheArcade: the project Read More »