Algorithm
A set of step-by-step instructions or rules followed to solve a problem or perform a computation.
In-depth explanation
In machine learning, algorithms are the mathematical procedures that learn patterns from data. Different algorithms are suited for different types of problems. Common ML algorithms include linear regression, decision trees, random forests, and neural networks. Choosing the right algorithm depends on the problem type, data characteristics, and requirements.
Examples
More in AI Fundamentals
Artificial Intelligence (AI)
The simulation of human intelligence processes by computer systems, including learning, reasoning, and self-correction.
Machine Learning
A subset of AI where systems automatically learn and improve from experience without being explicitly programmed.
Deep Learning
A subset of machine learning using artificial neural networks with multiple layers to model complex patterns.
Model
A mathematical representation learned from data that can make predictions or decisions on new, unseen data.
Training
The process of teaching a machine learning model to make predictions by exposing it to data and adjusting its parameters.
Inference
The process of using a trained model to make predictions on new, unseen data.
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