Machine learning is a field of artificial intelligence that focuses on creating systems that learn from data. It is a subset of AI that deals with the design and development of algorithms that can learn from and make predictions or decisions based on data.
Key Concepts
- Supervised Learning: A type of machine learning where the algorithm learns from a labeled dataset. The goal is to learn a mapping from input to output.
- Unsupervised Learning: A type of machine learning where the algorithm learns from an unlabeled dataset. The goal is to find patterns and relationships in the data.
- Reinforcement Learning: A type of machine learning where the algorithm learns from interaction with an environment to achieve a goal.
Applications
Machine learning is used in various fields such as:
- Healthcare: Predicting patient outcomes, diagnosing diseases, and personalized medicine.
- Finance: Credit scoring, fraud detection, and algorithmic trading.
- Marketing: Customer segmentation, recommendation systems, and targeted advertising.
Machine Learning Diagram
For more information on machine learning, you can check out our Machine Learning Basics guide.