# Machine Learning

Machine Learning (ML) is a subset of artificial intelligence that focuses on building systems that learn from and make decisions based on data. It allows computers to learn without being explicitly programmed.

## Types of Machine Learning

1. **Supervised Learning**: In this type, the model is trained on labeled data. The algorithm makes predictions based on the input it receives. 
2. **Unsupervised Learning**: This method involves training the model on data without labels. The system tries to learn the patterns and the structure from the data itself.
3. **Reinforcement Learning**: Here, an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward.

## Applications of Machine Learning

- **Healthcare**: For predicting disease, personalizing treatment, and managing hospital resources.
- **Finance**: In fraud detection, risk management, and automated trading.
- **Retail**: For customer segmentation, inventory management, and personalized recommendations.

## Conclusion

Machine Learning is transforming various industries by enabling computers to learn from data and improve their accuracy over time.