Definition
Machine Learning (ML) enables computers to learn patterns from historical data and make decisions or predictions on new, unseen data. It encompasses various techniques including supervised learning, unsupervised learning, and reinforcement learning. By adjusting internal parameters based on experience, ML models can automate complex tasks such as spam detection, recommendation systems, and autonomous driving, forming the backbone of modern AI advancements.
Summary
A subset of AI focused on building systems that learn from data to improve performance without explicit programming.
Key Concepts
- Supervised Learning
- Unsupervised Learning
- Model Training
- Prediction
Use Cases
- Fraud detection
- Recommendation engines
- Speech recognition