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

Concepts4

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

Category

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

Level

AllBeginnerIntermediate
โš™๏ธAlgorithmIntermediate

SPFA (Shortest Path Faster Algorithm)

SPFA is a queue-based optimization of Bellmanโ€“Ford that only relaxes edges from vertices whose distance just improved.

#spfa#bellman-ford#shortest path+12
โš™๏ธAlgorithmIntermediate

Breadth-First Search (BFS)

Breadth-First Search (BFS) explores a graph level by level, visiting all vertices at distance d from the source before any at distance d+1.

#bfs
Advanced
Filtering by:
#queue
#breadth first search
#graph traversal
+12
โš™๏ธAlgorithmIntermediate

Multi-Source BFS

Multi-source BFS explores an unweighted graph starting from several sources at once to compute the minimum distance to any source for every vertex.

#multi-source bfs#graph algorithms#shortest path+11
๐Ÿ—‚๏ธData StructureIntermediate

Queue and Deque

A queue is a First-In-First-Out (FIFO) line where you add at the back and remove from the front in O(1) time.

#queue#deque#fifo+12