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Common Core Math/Mini-Course B — Math for Machine Learning

Mini-Course B — Math for Machine Learning

8 modules · 0 with slides

  1. I

    Vectors as features; geometry as intuition

  2. II

    Matrices as linear transforms

  3. III

    Derivatives and gradients (ML focus)

  4. IV

    Chain rule → computation graph

  5. V

    Probability & likelihood (essential pieces)

  6. VI

    Cross-entropy and softmax

  7. VII

    Regularization and bias-variance

  8. VIII

    Capstone: Derive + implement gradient descent

Common Core Mathematics