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algorithms
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Core AI Algorithms Cheat Sheet: From Classical ML to Foundation Models & Vector Search
A production-tested reference guide distilling the 27 most essential algorithms used in modern AI engineering: covering classical supervised learning, gradient-boosted trees, clustering and vector search (HNSW), deep architectures and optimizers (AdamW), and LLM alignment (DPO, PPO).
Algorithms & Data Structures Time and Space Complexity Master Cheat Sheet
A comprehensive reference guide to time and space complexity across 7 core computer science domains: sorting algorithms, search and selection, graph theory, string algorithms and automata, fundamental data structures, number theory, and computational geometry.
Mathematical Games & Game Theory Cheat Sheet
A reference guide to mathematical games and strategy, spanning impartial combinatorial games, strategic games, probability & statistics, and numerical puzzles & search.