Machine Learning Types
Machine learning is a subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
Supervised Learning
Supervised learning uses labeled training data to learn a mapping function from inputs to outputs.
Examples:
- Classification problems
- Regression problems
- Image recognition
- Spam detection
Unsupervised Learning
Unsupervised learning finds patterns in data without labeled examples.
Examples:
- Clustering
- Dimensionality reduction
- Anomaly detection
- Association rules
Reinforcement Learning
Reinforcement learning learns through interaction with an environment to maximize cumulative reward.
Examples:
- Game playing
- Robot navigation
- Autonomous vehicles
- Trading algorithms
Conclusion
Understanding these different types of machine learning is crucial for choosing the right approach for your specific problem domain.