Nuclear magnetic resonance (NMR) is a technique most commonly used in medicine, organic chemistry and biochemistry. It is based on the magnetic spin of the nucleus, which is aroused by radiofrequency radiation, and during relaxation it releases radiation that is detected by the receiver. The radiation is transformed from the time to the frequency domain by Fourirer transformations, and the result is characteristic peaks that are further assigned to the associated nuclei. In medicine, it is used in the identification of foreign bodies (e.g. tumors), while in organic chemistry it is used when identifying and characterizing new compounds. In biochemistry, it is also used to characterize proteins and other larger biomolecules. In organic chemistry, carbon and hydrogen nuclei are most often analyzed, so the work processes this application the most. Other nuclei are used in physical and spectroscopic research. Machine learning algorithms belong the branch of computer science, and can even be classified as a subfield of statistics, although boundaries remain vaguely defined. They are based on the use of mathematical functions and models for data processing, and they can learn and provide some information (output) from the dana we enter (input). It is for this reason that they are applied in various branches of science. Wherever we have a large amount of dana, we can use it for easier analysis and interpretetation of that dana.