Machine Learning (ML)
A subset of AI that enables systems to learn and improve from experience without being explicitly programmed, using statistical techniques to find patterns in data.
Machine Learning is a core subfield of AI focused on algorithms that improve automatically through experience. Instead of following hard-coded rules, ML systems identify patterns in training data and apply those patterns to make predictions or decisions on new data.
Common types of machine learning:
- Supervised Learning: Models learn from labeled data (input-output pairs).
- Unsupervised Learning: Models find hidden patterns in unlabeled data.
- Reinforcement Learning: Models learn through trial and error using rewards and penalties.
Machine learning powers everything from email spam filters and recommendation engines to self-driving cars and medical diagnosis systems.
Read more in Guide: The History of Artificial Intelligence: From Dartmouth to GPT-4