Machine Learning
A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.
In Simple Terms
Imagine teaching a child to recognize dogs. You show them pictures of many different dogs until they can spot a dog anywhere. Machine Learning works the same way - the computer learns patterns from examples rather than following a strict instruction manual.
Detailed Explanation
Machine Learning is a branch of artificial intelligence focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. Instead of hand-coding software routines with specific instructions, ML algorithms use historical data as input to predict new output values. Common applications include recommendation systems, fraud detection, and predictive analytics.
Related Terms
Artificial Intelligence
The simulation of human intelligence processes by machines, especially computer systems.
Read moreBias in AI
Bias in AI is systematic error or unfairness in how a model treats individuals or groups, often reflecting skewed data or flawed design. It can worsen existing inequalities if left unchecked.
Read moreReinforcement Learning
Reinforcement learning (RL) is a type of machine learning where an agent learns by taking actions in an environment and receiving rewards or penalties. The goal is to learn a policy that maximizes long-term reward.
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