AI / ML
AI vs ML Overview
Understanding AI and ML
AI vs ML Overview
Artificial Intelligence (AI) and Machine Learning (ML) are two closely related but distinct fields in computer science. Understanding the difference is important for beginners.
What is Artificial Intelligence (AI)?
Artificial Intelligence is a broad field of computer science focused on creating systems that can perform tasks that typically require human intelligence. These tasks include:
- Problem solving
- Learning
- Reasoning
- Perception
- Language understanding
What is Machine Learning (ML)?
Machine Learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. ML algorithms build mathematical models based on training data to make predictions or decisions.
Key Differences
| Aspect | AI | ML |
|---|---|---|
| Scope | Broad - mimics human intelligence | Narrow - learns from data |
| Approach | Rule-based systems | Data-driven learning |
| Goal | Create intelligent systems | Enable machines to learn |
Types of Machine Learning
- Supervised Learning: Learning with labeled data
- Unsupervised Learning: Finding patterns in unlabeled data
- Reinforcement Learning: Learning through trial and error
Note: All machine learning is AI, but not all AI is machine learning. ML is one way to achieve AI.