Friends influence each other in their opinion of many aspects of life. In this video we describe how the level of connectedness in a social network relates to the extent in which individuals in it influence each other.
One of the main building blocks of modern AI-tools are artificial neural networks, abstract models inspired by the structure and functions of biological neural networks which enable machines to "learn". In this article, I will discuss some thoughts on this topic.
Have you ever found yourself less popular when compared to your friends? Interestingly, in any group of individuals, on average, people have fewer friends than their friends do, or at the very most, an equal number. Not more!
About a year ago, I came across an interesting event organised by the Youtube channel 3Blue1Brown. In this article, I give a quick overview of how I joined this competition, chose the topic, and made the video.
Applications of machine learning models are everywhere, with many online platforms and major science fields using tools relying on machine learning. Take, for example, image recognition and computer vision. But did you know that the results of supposedly perfect and accurate machine learning models can be deceived by slight perturbations in the data?