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How I Study AI - Learn AI Papers & Lectures the Easy Way

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๐Ÿ“Linear Algebra15๐Ÿ“ˆCalculus & Differentiation10๐ŸŽฏOptimization14๐ŸŽฒProbability Theory12๐Ÿ“ŠStatistics for ML9๐Ÿ“กInformation Theory10๐Ÿ”บConvex Optimization7๐Ÿ”ขNumerical Methods6๐Ÿ•ธGraph Theory for Deep Learning6๐Ÿ”ตTopology for ML5๐ŸŒDifferential Geometry6โˆžMeasure Theory & Functional Analysis6๐ŸŽฐRandom Matrix Theory5๐ŸŒŠFourier Analysis & Signal Processing9๐ŸŽฐSampling & Monte Carlo Methods10๐Ÿง Deep Learning Theory12๐Ÿ›ก๏ธRegularization Theory11๐Ÿ‘๏ธAttention & Transformer Theory10๐ŸŽจGenerative Model Theory11๐Ÿ”ฎRepresentation Learning10๐ŸŽฎReinforcement Learning Mathematics9๐Ÿ”„Variational Methods8๐Ÿ“‰Loss Functions & Objectives10โฑ๏ธSequence & Temporal Models8๐Ÿ’ŽGeometric Deep Learning8

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๐Ÿ”ทAllโˆ‘Mathโš™๏ธAlgo๐Ÿ—‚๏ธDS๐Ÿ“šTheory

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๐Ÿ—‚๏ธData StructureAdvanced

Persistent DSU (Fully Persistent Union-Find)

A persistent DSU (Union-Find) keeps all historical versions so you can query connectivity at any past version and even branch new futures from old states.

#persistent dsu#fully persistent union-find#union by rank+12
โš™๏ธAlgorithmIntermediate

Minimum Spanning Tree - Kruskal

Kruskalโ€™s algorithm builds a minimum spanning tree (MST) by sorting all edges by weight and greedily picking the next lightest edge that does not form a cycle.

Advanced
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#union by rank
#kruskal
#minimum spanning tree
#mst
+11
๐Ÿ—‚๏ธData StructureIntermediate

Disjoint Set Union (Union-Find)

Disjoint Set Union (Union-Find) maintains a collection of non-overlapping sets and supports fast merging and membership queries.

#disjoint set union#union-find#path compression+11