Artificial intelligence and machine learning
Understand the Problem
The question is asking about two key concepts in technology and computer science: artificial intelligence (AI) and machine learning (ML). It likely aims to understand what these terms mean and how they are related to each other.
Answer
AI involves creating systems with human-like intelligence. ML, a subset of AI, enables computers to learn from data.
Artificial Intelligence (AI) is a broad field that involves creating systems capable of performing tasks that require human-like intelligence. Machine Learning (ML) is a subset of AI that focuses on the ability of computers to learn from data and improve over time without being explicitly programmed.
Answer for screen readers
Artificial Intelligence (AI) is a broad field that involves creating systems capable of performing tasks that require human-like intelligence. Machine Learning (ML) is a subset of AI that focuses on the ability of computers to learn from data and improve over time without being explicitly programmed.
More Information
Although often used interchangeably, AI and machine learning refer to different concepts. AI encompasses all intelligent machine behavior, while ML specifically refers to machines improving their performance by learning from data.
Tips
A common mistake is using AI and ML as synonyms. Remember that ML is a specific approach within the broader AI field.
Sources
- AI vs. Machine Learning: How Do They Differ? | Google Cloud - cloud.google.com
- Artificial Intelligence (AI) vs. Machine Learning | Columbia AI - ai.engineering.columbia.edu
- Machine learning, explained | MIT Sloan - mitsloan.mit.edu
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