Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers
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Restructure optimization content and add Fourier series section
ab75133View on GitHubAdd §09-01 Entropy: notes.md (2000 lines), theory.ipynb (53 cells), exercises.ipynb (8 exercises)
2d4354fView on GitHubAdd §10 Numerical Methods: §03 exercises, §04 and §05 complete, chapter README
5ebe8d0View on GitHubAdd §10-01 Floating-Point Arithmetic and §10-02 Numerical Linear Algebra
4f79db7View on GitHubAdd §11-06 Random Graphs: notes, theory notebook, exercises
3c5bfb2View on GitHubFix §08-05 Stochastic Optimization notes.md: fences and formatting
334d19dView on GitHubFix §08-04 Constrained Optimization notes.md: formatting
27312cbView on GitHubFix §08-02 Gradient Descent notes.md: repair code fences and formatting
e00fcd0View on GitHubFix §08-Optimization: correct syntax, repair code fences, complete TOC
9d5b3b8View on GitHubAdd §11-04 Spectral Graph Theory: notes, theory notebook, exercises
e67f024View on GitHubAdd section 06: Optimization Landscape — critical points, sharpness, mode connectivity, saddle escape
c05c2cbView on GitHubAdd §11-01 Graph Basics and §11-02 Graph Representations
f2608f1View on GitHubAdd sections 02-05 to Optimization chapter: Gradient Descent, Second-Order Methods, Constrained Optimization, Stochastic Optimization
5824bf5View on GitHubAdd §08-01 Convex Optimization: notes, theory notebook, exercises
9e3d2aaView on GitHub