Hackathons are filled with people who are good at programming and designing. It’s very tempting to start coding right away, however this might not be the best strategy if you are in it to win it.
The concept of a hackathon is to create (hack) something in a short amount of time. Most of these hackathons include programming in some sort or form. There are many different flavors of hackathons and this is very important to keep in mind if you want to rank high.
I distinguish hackathons in two main types. One with a theme where it’s all about creativity — like a game development hackathon — and the other kind is focussed a some very specific goal. …
Artificial Intelligence sounds freaking amazing: humanoid robots, artificial conscious, self learning systems and understanding the human brain. I won’t lie; these were the things that motivated me to look into Artificial Intelligence. And till a certain extent they still do.
I started out doing Physics and Life Sciences. One thing that caught my attention was the advancements in the field of so called “Artificial Neural Networks”. So I grabbed my laptop and ambitiously started writing my own implementation of these exotic Artificial Neural Networks. However, after a week the project became too time consuming. …
Food and Artificial Intelligence, two topics that are dear to my heart. I love watching Master Chef and wonder about how those dishes would taste. On the other hand I love to work on Artificial Intelligence. So why not combine the two?
I have set myself the goal to generate a diverse set of new eatable recipes all generated by Artificial Intelligence. But why not go just that one step further and create a whole website with recipes that you can show it (off) to others!
I think that ten year ago most people would probably have thought that this idea is doomed to fail. However, nowadays this is actually quite doable when you have the know-how. …
I have been working with Machine Learning for a couple of years and now as an instructor at School of Data Science. At first it felt like magic: you have some data (in my case computer game data), insert it in a model (in my case a Neural Network) and you get a good result! Just like with “real” magic, the trick does get less magical when you know what is going on. However, just like with “real” magic, this doesn’t make it less amazing!
It’s extremely powerful to draw the right conclusion given a certain situation. This could be: selling or buying stocks at the right time, determining if a patient has a certain disease or correctly guessing the content of a piece of text. …
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