Technology
How does machine learning work?
Machine learning works by finding patterns in data instead of following hand-written rules. You feed a model many examples, it adjusts itself to predict the right answers, and over time it gets better — learning from data rather than being explicitly programmed.
See it in motion.
Watch a 2-minute animated lesson that shows exactly how machine learning works.
Step by step
- 1It learns patterns from examples, not fixed rules.
- 2A model adjusts itself to reduce its mistakes.
- 3More good-quality data usually means better results.
- 4Once trained, it makes predictions on new, unseen data.
Frequently asked questions
- How does machine learning work?
- A model studies many examples and adjusts itself to spot patterns, so it can predict answers for new data.
- What's the difference between machine learning and traditional programming?
- Traditional code follows explicit rules; machine learning infers its own rules from data.
- Does machine learning need a lot of data?
- Generally yes — more high-quality, relevant data usually leads to more accurate models.