Definition: A branch of Artificial Intelligence aimed at enabling computers to learn from data without being explicitly programmed. It uses algorithms to detect patterns or correlations in data to make predictions or decisions.
Key Features:
Data-driven: Models are "trained" from data rather than explicit programming.
Adaptability: Systems can improve their performance with more data.
Automation: Ability to undertake repetitive tasks or decisions without human intervention.
Common Applications:
Predictive Analysis: Forecasting future events based on historical data.
Image and Speech Recognition: Identifying objects or speech patterns.
Recommendation Systems: Suggesting products or content based on user preferences.