What are the key differences between AI and machine learning?

Artificial Intelligence (AI) and machine learning (ML) are closely related fields, yet they have distinct differences. AI refers to the simulation of human intelligence processes by machines, especially computer systems. This includes learning, reasoning, and self-correction. In contrast, machine learning is a subset of AI that focuses on the use of algorithms and statistical models to enable computers to improve their performance on specific tasks through experience.

Key Facts

• AI encompasses all technologies that simulate human intelligence.
• ML uses data to allow systems to learn and adapt.
• AI can include rule-based systems, whereas ML relies on data patterns.
• AI applies to various domains including robotics, natural language processing, and more.

Examples / Use Cases

• AI: Virtual assistants like Siri and Alexa.
• ML: Recommendation systems in Netflix and Amazon.

Common Mistakes / FAQs

• Many confuse AI with ML; however, not all AI is based on machine learning.
• Understanding their relationship helps in grasping new technologies more effectively.