Basic terminology of Artificial Intelligence

Let’s now jump into basic terminology related to AI. When we say Artificial Intelligence we mostly mean machine learning - a domain of computer science that uses learning algorithms able to tune themselves on data provided by a user. The fundamental block of machine learning is neural networks. They are algorithmic systems based on simulating connected “neural units,” loosely modeling the way that neurons interact in the brain.

As we have mentioned above, these computational models inspired by neural connections have been studied since the 1940s. They have returned to prominence with the rise of computer processing power able to cope with large training data sets and have been used to successfully analyze input data such as images, video, and speech. Deep learning is a subset of machine learning, where neural networks have many layers of neurons (“deep network”). The more layers you include in your machine...