Many people use machine learning (ML) and artificial intelligence (AI)
interchangeably, but there are significant distinctions between the two terms.
This article highlights Machine Learning vs. AI: Differences, applications, and
Benefits. In this article, you will also learn more about AI, ML, and their current
applications in the world.
Although the terms
artificial intelligence (AI) and machine learning (ML) are
frequently used interchangeably, they are truly distinct, though related, theories.
AI is computer software that mimics human thinking to perform complex tasks
like analyzing, reasoning, and learning.
Machine learning, however, is a subset of AI that employs algorithms trained on
data to generate models capable of executing complex tasks.
Today, most AI is done with machine learning, so the two terms are often used
interchangeably. However, AI is the broad idea of making computer software
and systems think like humans, while ML is just one way to do that.