Machine Learning (ML)

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.