Gaussian Distribution

Gaussian step lessons — identify N(μ,σ²), z-scores, shaded P(a<X<b), 68–95–99.7, standardize to Z; PDF and bivariate graphs optional.

• Foundations
• Vector Math
• Matrix Multiply
• Inverse Matrix
• Eigenvalues & Eigenvectors
• SVD & Orthogonality
• Derivatives

KousKrab — interactive ML simulations in the browser.