Machine Learning, NLP, Information Technology, Data, AI.
In this case, do form a Markov chain, and the significance of this is that by processing data, we can never gain information about a hidden quality. For example, assume that Y represents possible pictures in a dataset and Z represents the main object in the picture (the alphabet of Z is thus “cat”,