Machine learning is a branch of artificial intelligence (AI) focused on building systems that learn from data. It's a field that has seen rapid growth and is now a crucial part of many industries.
Key Concepts
- Supervised Learning: This is where the algorithm learns from a labeled dataset. The goal is to learn a mapping from input to output.
- Unsupervised Learning: Here, the algorithm is given data without labels. The goal is to find patterns or structure in the data.
- Reinforcement Learning: This involves an agent that learns to make decisions by performing actions in an environment to achieve a goal.
Applications
Machine learning is used in various fields, including:
- Healthcare: Predicting patient outcomes, diagnosing diseases, and personalized medicine.
- Finance: Credit scoring, fraud detection, and algorithmic trading.
- Transportation: Autonomous vehicles, traffic prediction, and logistics optimization.
Further Reading
For more information on machine learning, you can visit our Machine Learning Resources page.
Machine Learning Diagram