Compare machine learning and human learning.

Comparison should include

commonalities (e.g., both involve acquiring knowledge and improving performance over time; both involve using knowledge with computational thinking)
differences (e.g., machine learning uses algorithms to process large amounts of data and identify patterns whereas human learning uses critical thinking, reasoning, emotions, and personal experiences; machine learning is dependent on the hardware and software that is used to obtain information)
the need for both machine learning and human learning to work together in industry; machine learning is dependent on human learning.