There are many practical examples of the Unsupervised Learning. Thanks to this learning method, programs capable of learning from the rules of the game and victory strategies can be used on the stock market. It is for example possible to provide stock prices in the form of raw data and leave the program identify certain activities on the stock market and predict trends.
However, artificial intelligence, in particular the Unsupervised Learning, is already present in many other fields. Data partitioning makes it possible to compose groups of people who will be particularly useful in marketing. In this area, the target group plays a central role and serves as a basis for the development of an advertising strategy. Algorithms can learn to compose such groups of people independently.
Unspected learning is also well anchored in the field of voice recognition. This technology allows us, for example, to use assistance programs like Siri, Alexa or the Google Assistant. In this context, programs learn of the owner's vocal particularities and may include ever more precise statements over time, even if the owner has a language tick or speaks a dialect.
Many smartphones are already using the Unsupervised Learning to automatically organize Photo galleries. Thanks to autonomous and not supervised learning, the device is able to identify the same person in photos or find identical sockets in metadata. The photos can thus be organized according to the place of taking or according to the people appearing in the photo.
The Unsupervised Learning has also proven itself in cats: a large part of Internet users have already dealt with chatbots which manage for example social interaction in virtual conversations. The bots identify the insults, harassment, racist declarations as well as discrimination and removes the users concerned with the cat or reminds them. Artificial intelligence also occurs in this context. Automated cats in customer services and online order services work similarly. Whether in messaging or on a phone, bots learn independently, partly without being supervised.
