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title: 12 Fundamental Math Theories Needed to Understand AI
description: Understanding AI requires knowledge of several key mathematical theories, including the Curse of Dimensionality, Law of Large Numbers, Central Limit Theorem,...
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# 12 Fundamental Math Theories Needed to Understand AI

**[Medium](https://daily.dev/sources/medium_js)** · 3 min read · 1245 upvotes · 23 comments

## Summary

Understanding AI requires knowledge of several key mathematical theories, including the Curse of Dimensionality, Law of Large Numbers, Central Limit Theorem, Bayes’ Theorem, Overfitting and Underfitting, Gradient Descent, Information Theory, Markov Decision Processes, Game Theory, Statistical Learning Theory, Hebbian Theory, and Convolution. These concepts are foundational in AI and enhance understanding of its development.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/teach-me-in-plain-language/12-fundamental-math-theories-needed-to-understand-ai-5383b49a04c8>

## Community discussion

Top comments from developers on daily.dev.

**@asmundur** · 44 upvotes

> That’s a great list!
>
> On a more basic level I always tell people that understanding modern machine learning requires a solid grasp of calculus, linear algebra, and vector calculus. These mathematical foundations are crucial for working with optimization algorithms, neural networks, and other key concepts in AI. Familiarity with these areas deepens one’s ability to navigate the theories and techniques that underlie machine learning models.

**@labibhassan** · 12 upvotes

> Great! As a math lover, I am feeling pretty excited to start this tech journey of which I know next to nothing : )

**@pvalentini** · 6 upvotes

> Just a list pointing to wikipedia articles? Sounds like AI generated content.

**@abhijeetdave** · 2 upvotes

> Great list.

**@himathomas** · 2 upvotes

> Now I know why I suffered through 4 semesters of Statistics for my Bachelors

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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), [#neural-networks](https://daily.dev/tags/neural-networks), [#statistics](https://daily.dev/tags/statistics)

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