Ask AI: explain me Boltzmann Machine Learning concept?

Boltzmann Machine Learning is a type of machine learning algorithm that is based on a type of artificial neural network called a Boltzmann Machine. It is an unsupervised technique that is used for learning the features of a dataset. It is capable of learning from examples, and can be used to build recommendation systems, image recognition, and can even be used for language processing. The core idea behind Boltzmann Machine Learning is to consider all possible states of a system and assign each one a probability based on its energy. The system then optimizes itself by adjusting the probabilities of each state in order to minimize its energy.