Machine Learning is the subfield of computer science that, according to Arthur Samuel in 1959, gives "computers the ability to learn without being explicitly programmed."
We see very little different in Machine Learning and Artificial Intelligence

Machine Learning evolved from the study of pattern-recognition and computational learning theory in Artificial Intelligence.

Machine Learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions through building a model from sample inputs.

Machine Learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible.

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