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

Concepts6

Groups

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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AllBeginnerIntermediate
โš™๏ธAlgorithmIntermediate

Problem Classification Patterns

Many competitive programming problems map to a small set of classic patterns; recognizing keywords and constraints lets you pick the right tool fast.

#problem classification#binary search on answer#two pointers+12
โš™๏ธAlgorithmAdvanced

Convolution Applications

Convolution turns local pairwise combinations (like matching characters or adding two dice) into a single fast transformโ€“multiplyโ€“inverse pipeline.

#convolution
Advanced
Filtering by:
#bitmask dp
#fft
#ntt
+12
โš™๏ธAlgorithmAdvanced

Subset Sum Convolution

Subset Sum Convolution (often called Subset Convolution) computes C[S] by summing A[T]ร—B[U] over all disjoint pairs T and U whose union is S.

#subset convolution#subset sum convolution#sos dp+11
โš™๏ธAlgorithmAdvanced

Sum over Subsets (SOS) DP

Sum over Subsets (SOS) DP lets you compute F[mask] = sum of A[submask] over all submasks in O(n 2^n) instead of O(3^n).

#sos dp#subset zeta transform#mobius inversion+11
โš™๏ธAlgorithmIntermediate

Bitmask DP

Bitmask DP compresses the state of a subset of n elements into an integer mask, enabling elegant dynamic programming over all subsets.

#bitmask dp#subset dp#held-karp+12
โš™๏ธAlgorithmIntermediate

DP State Design

Dynamic Programming (DP) state design is the art of choosing what information to remember so that optimal substructure can be reused efficiently.

#dynamic programming#dp state#bitmask dp+11