  One of the increasingly important technologies dealing with the growing
complexity of the digitalization of almost all human activities is Artificial
intelligence, more precisely machine learning Despite the fact, that we live in
a Big data world where almost everything is digitally stored, there are many
real-world situations, where researchers are faced with small data samples. The
present study aim is to answer the following research question namely What is
the small data problem in machine learning and how it is solved?. Our
bibliometric study showed a positive trend in the number of research
publications concerning the use of small datasets and substantial growth of the
research community dealing with the small dataset problem, indicating that the
research field is moving toward higher maturity levels. Despite notable
international cooperation, the regional concentration of research literature
production in economically more developed countries was observed.
