← Course home

AICE3001/AICE6002: Mathematics of Machine Learning

1. calculus
   math 101, matrices, differentiation
   worked answers
2. vectorSpaces
   Cauchy-Schwarz, Inner-product spaces, induced norms
   worked answers
3. eigen
   Eigensystems, PCA, SVD
4. optimisation
   Gradient descent, Newton's method, momentum, SGD, Lagrange multipliers, duality
5. convexity
   convexity, SVMs
6. general
   duality
7. probability
   Gaussian integrals
8. gp
   Gaussian processes
9. information
   entropy, information
10. theory
    bias variance
11. revision
    general