Machine learning (=machine learning) is a sub-area of artificial intelligence (=AI). As part of machine learning, IT systems are able to recognize patterns in databases and documents, find solutions to complex problems and improve themselves independently.
Since the system primarily learns from experience, a high level of experience, i.e. a large number of events, is a prerequisite for successful machine learning.
In addition, before a system can learn and develop solutions independently, humans must set the timetable using algorithms and data. Rules are also specified at the start. The respective system learns from these algorithms and data, creates its own, independent program code and continuously develops it further. Development is a complex and interactive process that must be run several times before the start. It is therefore very rare in practice that humans only have to intervene once at the beginning.
Among other things, machine learning makes it possible to find, extract and summarize data. Machine learning is also used to make predictions and calculate probabilities and to improve processes based on recognized patterns.
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