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.
Thank you for reading this post, don't forget to subscribe!- 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.