Types of Computational Complexity for Machine Learning Algorithms

Categories

This categorizes algorithms based on their computational demands, from lightweight models suitable for edge devices to heavy models requiring powerful hardware infrastructure

Exponential: Algorithms with exponential complexity grow extremely rapidly with input size, making them suitable for small datasets but impractical for large-scale applications.
Logarithmic: Logarithmic complexity algorithms offer exceptional efficiency by reducing processing time dramatically as they divide problems into smaller parts during execution.

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