Machine learning is a branch of artificial intelligence (AI) focused on building systems that learn from data. These systems use algorithms to analyze and interpret data, and then make decisions or predictions based on that data.
Key Concepts
- Supervised Learning: A type of machine learning where the algorithm learns from labeled data.
- Unsupervised Learning: A type of machine learning where the algorithm learns from unlabeled data.
- Reinforcement Learning: A type of machine learning where the algorithm learns by performing actions and receiving feedback in the form of rewards or penalties.
Applications
Machine learning is used in various fields, such as:
- Medical Diagnosis: Helping doctors identify diseases from medical images.
- Financial Fraud Detection: Identifying fraudulent transactions in real-time.
- Autonomous Vehicles: Enabling cars to drive themselves.
Machine Learning Diagram
Further Reading
To learn more about machine learning, you can visit our Machine Learning Resources page.