What is Machine Learning (ML)?
Machine Learning (ML) — A subset of AI where systems learn to improve performance on a task through experience and data.
Machine learning is the broader discipline that encompasses deep learning, reinforcement learning, and classical algorithms like decision trees and linear regression. ML systems learn patterns from historical data to make predictions on new data without being explicitly programmed.
Frequently Asked Questions
What is the difference between AI and ML?
AI is the broad goal of creating intelligent systems. ML is a specific approach to achieving AI where systems learn from data. All ML is AI, but not all AI is ML.
What types of ML are there?
Three main types: supervised learning (labeled data), unsupervised learning (finding patterns without labels), and reinforcement learning (learning through trial and reward).
How much data does ML require?
It varies widely. Simple regression models can work with hundreds of examples. Complex deep learning models may need millions. Data quality always matters more than quantity.