> ## Documentation Index
> Fetch the complete documentation index at: https://aegean.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prerequisites

> Mathematical foundations and programming skills.

This section covers supplementary material including mathematical foundations and programming resources.

## Math Background

<CardGroup cols={2}>
  <Card title="Math Overview" icon="book" href="/aiml-common/lectures/ml-math/index">
    Mathematics for Machine Learning textbook reference.
  </Card>

  <Card title="Probability" icon="dice" href="/aiml-common/lectures/ml-math/probability/index">
    Probability basics including joint, marginal, and conditional distributions.
  </Card>

  <Card title="Linear Algebra" icon="table-cells" href="/aiml-common/lectures/ml-math/linear-algebra/index">
    Linear algebra fundamentals including vectors, matrices, and eigenvalues.
  </Card>

  <Card title="Calculus" icon="function" href="/aiml-common/lectures/ml-math/calculus/index">
    Calculus fundamentals including derivatives and matrix calculus.
  </Card>
</CardGroup>

## Programming

<CardGroup cols={2}>
  <Card title="Python" icon="python" href="/aiml-common/lectures/python/index">
    Python programming resources for data science and ML.
  </Card>
</CardGroup>

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit this page on GitHub](https://github.com/aegean-ai/eaia/edit/main/src/book/prerequisites/index.mdx) or [file an issue](https://github.com/aegean-ai/eaia/issues/new/choose).
</Callout>