AI vs. Machine Learning: What’s the Difference and Why It Matters

Artificial intelligence (AI) and machine learning are often used interchangeably, but they are not the same. AI is the broader concept of creating machines capable of human-like intelligence, while machine learning is a subset of AI that focuses on systems improving their performance by learning from data.

AI allows computers to think, learn, and make decisions like humans do. It involves analyzing data, recognizing patterns, understanding language, solving problems, and improving over time without being explicitly programmed.

On the other hand, machine learning relies on algorithms that enable systems to learn from data and make predictions or decisions based on that data. Deep learning, a subfield of machine learning, requires more data points to improve accuracy compared to traditional machine learning models.

While AI aims to create intelligent behavior, machine learning narrows that focus to developing systems that improve performance automatically by learning from examples. It’s essential to understand the distinctions between AI and machine learning to navigate the tech-driven world effectively.