Meaning
A subset of AI that focuses on the development of algorithms that allow computers to learn from and make predictions based on data.
Definition
ML involves training algorithms on data so they can identify patterns and make decisions with minimal human intervention.
By feeding large amounts of data into machine learning models, these algorithms can improve their accuracy over time, making them invaluable for applications that require predictions or classifications.
The ability to learn from data without being explicitly programmed for every scenario is what makes ML a cornerstone of modern AI.
Example
Recommendation systems, such as those on Netflix and Amazon, use ML to suggest movies or products based on a user’s past behavior.
By analyzing viewing history or purchase patterns, these platforms can predict what a user is likely to enjoy next, providing a personalized experience that keeps users engaged.
