Course modules split into classical math foundations, ML tricks, and deployment surveys
risteski_a · x · 2026-09-04
Each course module covers three parts: (1) mathematical foundations of the classical, ML/AI-free methods; (2) foundations and "tricks of the trade" of the ML methodology; (3) benchmarks in the field and a survey of industry deployment landscape where public info exists.
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