Core Concepts
Algorithm
In AI and ML, an algorithm is a step-by-step procedure for solving a problem or making a prediction—from simple linear regression to complex neural network training procedures. Algorithms define how a model learns from data and how it makes inferences.
Choosing the right algorithm involves trade-offs between interpretability, computational cost, accuracy, and data requirements. Understanding algorithms helps practitioners debug, improve, and audit AI systems.
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Related Terms
Core Concepts
Machine Learning
Getting computers to learn from data and improve at tasks without explicit programming.
Core Concepts
Deep Learning
Subset of ML using neural networks with many layers to analyze complex data representations.
Techniques & Methods
Heuristics
Practical problem-solving approaches using rules of thumb rather than exhaustive search.
Techniques & Methods
Greedy Algorithms
Algorithms that make the locally optimal choice at each step to find a global solution.