Algorithm

Last Updated: January 20, 2026
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A clear and finite set of step-by-step instructions used by computers to solve problems, make decisions, or process data is called an algorithm.

At-a-Glance

  • The word algorithm comes from Al-Khwarizmi, a 9th-century Persian mathematician whose work laid foundations for algebra and computation.
  • Algorithms are present widely daily life, from search engine results to Instagram feeds to credit scores without users realizing it.
  • In general, a program counts as an algorithm only if it eventually stops; yet, infinite loops can exist in real software

ELI5 (Explain like I'm 5)

Suppose you want to bake a cake. You cannot just throw eggs and flour into an oven and hope for the best. You need to follow a recipe: Step 1, mix ingredients; Step 2, preheat the oven; Step 3, bake for 30 minutes and so on. This list of steps is an algorithm.

A computer too needs very clear, ordered instructions. An algorithm is simply a recipe for thinking, written so a machine can follow it perfectly.

Characteristics of an algorithm

An algorithm should ideally satisfy the below conditions.

  1. It has to be clear and have no vague instructions.
  2. It has to be ordered. The steps happen in a specific sequence.
  3. It should be repeatable. The same input gives the same output.
  4. It should be finite, meaning it must eventually stop.

Algorithms vs. Programs

An algorithm is the idea. A program is its implementation.

For example:

Algorithm: Check each number and swap if it’s bigger than the next one.

Program: The Python, JavaScript, or C++ code that performs that logic.

Different programs can implement the same algorithm in different ways.

Why algorithms matter in AI

In traditional software, algorithms are explicitly written by humans.

In AI and machine learning, humans design the learning algorithm. The system learns the rules from data and identifies patterns. They ingest labeled or unlabeled inputs, adjust internal parameters (like weights in neural networks), and output predictions or classifications.

Modern AI models still rely on algorithms that are far more complex and data-driven. Algorithms also determine how fast and how efficiently the AI runs, affecting compute cost and latency.

From search engines to AI models, washing machines to customer support bots, everything ultimately depends on the underlying algorithm doing its job correctly.

Understanding this helps demystify software and AI. Most of what looks intelligent is really the result of well-designed algorithms working at scale.

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