AI Termcirca 1959· Added May 30, 2026
Machine Learning (ML)
Machine Learning is a subset of AI focused on building systems that learn from data to make predictions or decisions without explicit programming.
Machine Learning (ML) is an approach within Artificial Intelligence where systems improve their performance by learning from data rather than following explicitly programmed instructions. This learning process involves algorithms that identify patterns or structures within the data and make informed predictions or decisions based on it. Machine Learning can be supervised, unsupervised, or reinforcement-based, each utilizing different techniques to tackle specific problems ranging from classification and regression to clustering and reward maximization. The rapid adoption of ML across industries stems from its capability to automate complex decision-making processes, drive insights from big data, and enhance business efficiencies.
Examples
- Netflix uses ML algorithms to recommend movies based on viewing history.
- Online retailers employ ML for dynamic pricing strategies depending on market conditions.
- Credit card companies apply ML models to detect fraudulent transactions.
Common misconceptions
- ML does not replace all roles but amplifies human capabilities in decision-making.
- Not all AI is machine learning; some systems follow pre-defined logic instead.
Related terms
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