Grokking Modern AI Fundamentals
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3.1 Math Essentials for AI
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When you’re starting out in AI, a little math goes a long way.

You don’t need to be a mathematician, but grasping a few core ideas makes a world of difference.

Specifically, linear algebra (vectors and matrices) and basic statistics (mean, variance, and probability) form the building blocks of how most AI models handle data.

Understanding these concepts will help you make sense of how algorithms interpret data. Let’s get into the basics.

Linear Algebra in a Nutshell

  1. Vectors

    A vector is essentially a list of numbers (e.g., [2, 5, -3]).

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