If I had to indicate one algorithm in machine learning that is both very simple and highly effective, then my choice would be the k-nearest neighbors (KNN). What’s more, it’s not only simple and efficient, but it works well in surprisingly many areas of application. In this post I decided to check its effectiveness in …
Today I would like to present an example of using logistic regression and Keras for the binary classification. I know that this previous sentence does not sound very encouraging 😉 , so maybe let’s start from the basics. We divide machine learning into supervised and unsupervised (and reinforced learning, but let’s skip this now). Supervised …
Shape recognition, and handwritten digit recognition in particular, is one of the most graceful topics for anyone starting to learn AI. There are several reasons, but the two most important are the ease with which we can use well-prepared ready-made datasets and the ability to visualize these data. From this tutorial you will learn: Okay, …