Search Results for: kevin smeyers

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 …

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Trashbeat 2.0

Are you ready at ToThePoint? Building a reinforcement learning simulation of the smart autonomous trash bin. Apply now In another internship we are building a prototype of smart trashcan with necessary sensors to check if it needs to be emptied. When it is time to be emptied it should place itself in a central position …

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TrashBeat – build a smart trashcan

Are you ready at ToThePoint? TrashBeat – Build a smart trashcan Apply now Design and develop a self-learning trashcan, by using sensors and a backend processing pipeline with machine learning, to create an intelligent and timely signal when it’s time to be emptied. Description of the assignment In our ToThePoint offices of the Cronos campus, …

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TellMi – Computer vision

Are you ready at ToThePoint? Deep learning – Image recognition agent Apply now Build an application for educational purposes for kids from 6 to 8 years old. The application needs to recognise easy subtractions and summations shown by a kid’s hand. Description of the assignment The kid shows to a camera a hand with 4 …

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TurningPoint – Self driving vehicle

Are you ready at ToThePoint? TurningPoint – Design and develop a self-driving obstacle avoiding vehicle Apply now Design and develop a self-driving & obstacle-avoiding vehicle, fitted with sensors and real-time management from a cloud-hosted backend. Description of the assignment This internship is focused on processing incoming data from sensors (distance, obstacle- detection, IR distance, etc.) …

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Machine Learning Constraint solver

Are you ready at ToThePoint? Machine Learning Constraint Solving Apply now Build a constraint resolver in combination with a machine learning agent the solve an advanced employee scheduling problem. Description of the assignment Companies that schedule their work to be done in shifts, need to solve a common problem: how can we schedule our workers …

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Are you ready at ToThePoint? KMeansK – Build a web visitors clustering pipeline using Kmeans Algorithm Apply now Build a real-time data processing pipeline of webserver logs in which K-Means clustering is used to categorise web visitors based on their behaviour and real-time visualisation of the clustering algorithm @ work. Description of the assignment Our …

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Are you ready at ToThePoint? IntroduceMe – Graphing LinkedIn Apply now Build a tool that enables our (sales) consultants to see how we can connect to a certain customer, consultant or colleague. Description of the assignment The idea from this project is to import linkedIn connections from our sales consultants andthen build a graph database …

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Are you ready at ToThePoint? FlashPoint – Build a realtime sentiment analysis processing pipeline Apply now Design and develop a real-time processing pipeline and dashboard for the sentiment analysis of tweets and posts about our companies. Description of the assignment About ToThePoint Group and our subcompanies (OnTheSpot, OneDot and ToThePoint) is regularly tweeted about on …

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Start your EVOLUTIONARY Career VIEW JOBS Spontaneous application Backend Java Developer Technical Architect Junior *developer Frontend Junior Frontend Developer Full Stack JavaScript Developer Cloud Cloud Engineer Expectations Rather than making you do stuff you don’t give a damn about, we’re looking at what makes your innards tick. Let’s take it from there. Let’s start afresh. …

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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. …

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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 …

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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 …

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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 …

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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 …

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Kevin Smeyers, machine learning expert and technical architect at ToThePoint is featured on the applied machine learning days website

Scheduled to talk at #AMLD2019, Switzerland

About AMLD2019 The “Applied Machine Learning Days” is a yearly recurring event that lasts “four days with talks, tutorials & workshops about Machine Learning and Artifical Intelligence with top speakers from around the world” (-AMLD). Tickets for AMLD2019 can be found on their website. Why we applied to talk We’ve discovered a multitude of learnings …

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