Machine learning is a field of computer science that gives computers the ability to learn and improve from experience without being explicitly programmed. It is one of the most exciting and fastest-growing areas of technology today.
Key Concepts
- Supervised Learning: This is where the machine learns from a labeled dataset. The goal is to learn a mapping from input to output.
- Unsupervised Learning: Here, the machine is given data but not told the expected output. The goal is to find patterns in the data.
- Reinforcement Learning: This involves an agent that learns to make decisions by performing actions and receiving rewards or penalties.
Applications
Machine learning is used in a variety of fields, including:
- Healthcare: Predicting patient outcomes, diagnosing diseases, and personalizing treatment plans.
- Finance: Credit scoring, fraud detection, and algorithmic trading.
- Retail: Personalized recommendations, inventory management, and customer segmentation.
Resources
For further reading, check out our Machine Learning Tutorial.
Machine Learning