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Home Machine Learning

Linked Lists — Knowledge Buildings & Algorithms for Knowledge Scientists | by Egor Howell | Oct, 2024

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October 21, 2024
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How LLMs Deal with Infinite Context With Finite Reminiscence

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How linked lists and queues work below the hood

Egor Howell

Towards Data Science

Picture by Luca Bravo on Unsplash

Following my earlier article on arrays, I wish to focus on the linked record knowledge construction and a few of its operations.

As knowledge scientists, despite the fact that we’re not essentially anticipated to know knowledge constructions and algorithms inside-out, it’s nonetheless a useful ability set for any tech skilled.

That’s why I’m making a sequence of articles discussing the central knowledge constructions and the way they work below the hood.

Linked lists are a sort of knowledge construction through which every component, referred to as a node, is saved/works in a sequence. Nevertheless, they don’t seem to be saved in reminiscence contiguously like arrays.

Every node has two issues:

  • Knowledge — The worth held by that node
  • Reference — Factors and incorporates the reference to the following node within the sequence.
Tags: AlgorithmsDataEgorHowellLinkedListsOctScientistsStructures

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