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

Concepts4

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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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โš™๏ธAlgorithmAdvanced

DP with Expected Value

Dynamic programming with expected value solves problems where each state transitions randomly and we seek the expected cost, time, or steps to reach a goal.

#expected value dp#linearity of expectation#indicator variables+11
โš™๏ธAlgorithmIntermediate

Strongly Connected Components

Strongly Connected Components (SCCs) partition a directed graph into maximal groups where every vertex can reach every other vertex in the group.

#strongly connected components
Advanced
Filtering by:
#topological order
#tarjan
#kosaraju
+12
โš™๏ธAlgorithmIntermediate

Tarjan's SCC Algorithm

Tarjanโ€™s algorithm finds all Strongly Connected Components (SCCs) of a directed graph in a single depth-first search using a stack.

#tarjan scc#strongly connected components#low link+12
๐Ÿ—‚๏ธData StructureAdvanced

Suffix Automaton - Advanced Usage

A suffix automaton (SAM) is a compact DFA that captures all distinct substrings of a string and supports many advanced queries in linear time.

#suffix automaton#endpos#suffix link+12