Foundations

The math and classical ML everything else builds on. 4 tracks · 57 lessons, in recommended order.

1. 1
   Track 4

   Visual Math: Linear Algebra

   Vectors, matrices, and transformations, built from visual intuition.

   15 lessons · ~5h Beginner
2. 2
   Track 8

   Visual Math: Calculus

   Derivatives, integrals, and the chain rule, built from intuition.

   13 lessons · ~4h Beginner
3. 3
   Track 9

   Statistics & Probability for AI

   The probability and statistics that machine learning runs on.

   14 lessons · ~4h Beginner
4. 4
   Track 10

   Classical Machine Learning

   Regression, trees, SVMs, and clustering, before the deep-learning era.

   15 lessons · ~5h Beginner

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