Unsupervised learning is a machine learning technique where a set of input data is provided to the algorithm without labelling, i.e. without telling it what the expected output is. The aim of the algorithm is to identify underlying patterns or structures in the input data and to cluster them in a meaningful way. Unlike supervised learning, where the algorithm receives labelled data, in unsupervised learning the algorithm must find patterns and relationships in the data on its own. Common examples of unsupervised learning techniques are clustering and dimensionality reduction.
The commercial optimization software based on artificial intelligence must have feedback of the commercial actions carried out, of the nu [...]
Read More »Artificial intelligence is increasingly present in companies and its growth is being applied in practically all sectors. When the end [...]
Read More »The term Business Intelligence (or BI) defines the use of information technologies to identify, discover, and analyze business data, such as business [...]
Read More »Chargeback refers to refunds that occur when, at the request of a cardholder, the bank requests a refund on his or her behalf [...].
Read More »
