We know that, Noise in data, incomplete coverage of the domain, and imperfect models provide the three main sources of uncertainty in machine learning.

Probability provides the foundation and tools for quantifying, handling, and harnessing uncertainty in applied machine learning.

NOTE: 

Uncertainty in applied machine learning is managed using probability.