Unsupervised learning (UL) is a type of algorithm that learns patterns from untagged data. The hope is that through mimicry, the machine is forced to build a compact internal representation of its world.
Unsupervised Learning is most likely to appear on Científico de datos job descriptions where we found it mentioned 2,6 percent of the time.