Derive the Linear Algebra Behind Machine Learning

8 weeks · 0 milestones

Produce hand-derived solutions to 20 exercises spanning matrix operations (multiplication, inversion, transposition), eigendecomposition, singular value decomposition, and PCA derivation — all derivations must be symbolic or hand-worked (no NumPy for the derivation steps, only for verification afterwards). The work must show the derivation reasoning, not just the result. Proof: the solutions reviewed by a maths lecturer or ML researcher who presents 2–3 unseen problems during the review session — you must work through them live and explain your reasoning at each step, not just produce an answer.

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