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# A Bird’s Eye View of Linear Algebra: The Basics

**[Towards Data Science](https://daily.dev/sources/tds)** · 14 min read · 4 upvotes · 0 comments

## Summary

Linear algebra fundamentals are explained through vector spaces, linear maps, and matrices, emphasizing their critical role in AI and machine learning. The content covers how vector spaces represent multi-dimensional data, how linear maps transform vectors between spaces, and how matrices implement these transformations through multiplication. Key concepts include matrix rank, determinants, and the relationship between linear independence and dimensionality, all illustrated with practical examples from coordinate systems to neural networks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/a-birds-eye-view-of-linear-algebra-the-basics/>

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Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#math](https://daily.dev/tags/math)

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