Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed.
- ML uses statistical algorithms and models to recognize patterns, extract insights, and improve performance over time.
Key Concepts of Learning in Machine Learning
- Learning from Data: ML models improve their accuracy by learning from past experiences.
- Generalization: The ability to apply learned knowledge to new, unseen data.
- Training and Testing: ML models are trained on a dataset and tested on separate data to evaluate performance.
Applications of Machine Learning:
- Healthcare: Disease prediction, personalized treatment.
- Finance: Fraud detection, stock market predictions.
- Retail: Customer recommendations, demand forecasting.
- Security: Facial recognition, anomaly detection in cybersecurity.
- Transportation: Self-driving cars, route optimization.
