Machine learning is a subset of artificial intelligence (AI) that focuses on building systems that can learn from data. These systems use algorithms to analyze and interpret data, enabling them to make decisions or predictions based on that data.
Key Concepts
- Supervised Learning: This is a type of machine learning where the algorithm learns from labeled data. The goal is to learn a mapping from input to output.
- Unsupervised Learning: In this type, the algorithm learns from unlabeled data. The goal is to find patterns or structures in the data.
- Reinforcement Learning: This involves learning through trial and error, with the goal of maximizing some notion of cumulative reward.
Applications
Machine learning is used in various fields, including:
- Healthcare: For predicting patient outcomes and identifying diseases.
- Finance: For credit scoring and fraud detection.
- Retail: For personalized recommendations and demand forecasting.
Resources
For more information on machine learning, you can check out our Machine Learning Tutorial.
Images
Here are some images related to machine learning:
Machine Learning Algorithms
Machine Learning in Healthcare
Machine Learning in Finance