Artificial Intelligence (AI) and Machine Learning (ML): They are closely related concepts, but they have distinct meanings.
Machine Learning (ML):
ML is a subset of AI that focuses on training machines to learn from data and allows systems to automatically learn and make predictions or decisions based on patterns and information in the data they are exposed to.
Example: In ML, you may train a computer to recognize spam emails by feeding it examples of both spam and non-spam emails. The system learns from this data and becomes better at distinguishing between the two without being explicitly programmed for each new email.
In summary, AI is the broader concept of creating intelligent machines, while ML is a specific approach within AI that focuses on training machines to learn from data.