Introduction to Reinforcement Learning (RL)
Reinforcement Learning has become interesting to many because you don’t need a huge data set to get started; the procedures inherently create this data.
On this page, you’ll find a collection of all our blogs within the category: “artificial intelligence”.
At ToThePoint, we’re constantly talking about “Machine Learning” when it comes to Artificial Intelligence (A.I.). This signifies the most important distinction between Artificial Intelligence and Natural Intelligence displayed by humans.
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans
Reinforcement Learning has become interesting to many because you don’t need a huge data set to get started; the procedures inherently create this data.
ToThePoint is co-hosting a reinforcement learning workshop with the folks from The Campus, the 17th of december. This is your chance to grasp an understanding of what Reinforcement Learning is, how to get started with RL and what value you could create for yourself and your (future) company. We’ll be using a load of real-world …
Turning crude data into knowledge can become dangerously valuable.
ToThePoint is making strides in the Machine Learning department, and now we’re stepping up our game by adding Deep Image Recognition to it.
What is Michael the Machine Learning Prodigy cooking for us now? It smells delicious.
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 …
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. …
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 …
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 …
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 …
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 …