The end of the winter semester is (finally) here same as the end of my semester project. What I’ve been trying to do whole time – to write about my work as understandable as I could. The main task was to get to know an artificial intelligence better. Rather, only Read more…
Okay, maybe not really, but the story is as follows. While I was studying for the final exam from the Automatic Control Theory I, I was wondering which letter(s) I will obtain. This crucial question bothers every student (sometimes is the question only “will I pass or not?”). I wanted Read more…
There is a room. Is there someone or is the room empty? We cannot see, surveillance cameras, video records are not allowed. But what we can do is that we are able to measure current temperature, humidity, light and CO2 in the room. If there is a dependency between the Read more…
Humankind considers (rightfully?) itself to be the most intelligent entity. It is so intelligent to find out that brains, which are composed of neurons are responsible for that intelligence. And what these smart humans do when they want to create a non-natural, artificial intelligence? They copy a mechanism from their Read more…
Finally, the last classifier. Will it be the best one at the end? Yes! Previous SVM classification will be replaced by a discriminant analysis model. Discriminant analysis in short: its principle is very similar to the naive Bayes approach – probabilities, statistics and optimization mixed up together. The approach is Read more…
Our journey to find the best classifier is not yet at the end. The last introduced classifier was the naive Bayes and now the next one – support vector machine itself – has a difficult task to win this competition. The naive classifier set a high bar. Spoiler: the support Read more…
Same task, but third classification algorithm – naive Bayes. I was looking forward, because a MATLAB script was already written and I naively thought my only work is to replace one function name (fitcknn to fitcnb). My good mood lasted until I realized that optimization of hyperparameters did not have Read more…
The aim of this project is still the same, only a classification algorithm will be different. No more trees anymore. They will be replaced by nearest neighbors, but the method is the same as previously. K-nearest neighbors (k-NN) is a simple classification algorithm, which assign a class to an item Read more…
Warning: this story has no happy ending. In the previous post I promised that we will grow better trees. For these kinds of problems optimization is used. In MATLAB, function fitctree which returns fitted classification tree can have an additional argument ‘OptimizeHyperparameters’ with value ‘auto’ or ‘all’ (and also ‘none’, Read more…
In the introductory post, I explained why artificial intelligence and machine learning matters. Leave out sci-fi machines aside, we have to start somewhere – for example with trees. Goals have been set: we want to predict a class of wine based on its properties. We will solve this task using Read more…