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

Concepts532

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

AllBeginnerIntermediateAdvanced
โˆ‘MathAdvanced

Banach Spaces

A Banach space is a vector space with a norm where every Cauchy sequence actually converges within the space.

#banach space#normed vector space#completeness+11
โˆ‘MathAdvanced

Hilbert Spaces

A Hilbert space is an inner product space that is complete, meaning Cauchy sequences converge to points inside the space.

#hilbert space#inner product
1011121314
#l2 space
+12
โˆ‘MathAdvanced

Lebesgue Integration

Lebesgue integration measures how much time a function spends near each value and adds up value ร— size of the set where it occurs.

#lebesgue integral#riemann integral#measure theory+12
โˆ‘MathAdvanced

Sigma-Algebras & Measure Spaces

A ฯƒ-algebra is a collection of subsets that is closed under complements and countable unions, giving us a stable universe of sets where measure makes sense.

#sigma-algebra#measure space#measurable sets+12
โš™๏ธAlgorithmAdvanced

Natural Gradient Method

Natural gradient scales the ordinary gradient by the inverse Fisher information matrix to account for the geometry of probability distributions.

#natural gradient#fisher information#empirical fisher+12
โˆ‘MathAdvanced

Lie Groups & Lie Algebras

Lie groups model continuous symmetries like rotations and rigid-body motions, combining algebra (group law) and calculus (smooth manifolds).

#lie group#lie algebra#so(3)+12
โˆ‘MathAdvanced

Curvature

Curvature measures how a geometric object bends, and it comes in several flavors: Gaussian, sectional, and Ricci curvature.

#gaussian curvature#sectional curvature#ricci curvature+11
โˆ‘MathAdvanced

Geodesics & Exponential Map

Geodesics are the โ€œstraightest possibleโ€ paths on curved spaces (manifolds) and locally minimize distance.

#geodesic#exponential map#riemannian metric+12
โˆ‘MathIntermediate

Riemannian Metrics & Geometry

A Riemannian metric assigns an inner product to each tangent space, giving you a way to measure lengths and angles on curved spaces (manifolds).

#riemannian metric#metric tensor#christoffel symbols+12
โˆ‘MathAdvanced

Smooth Manifolds & Tangent Spaces

A smooth manifold is a space that looks like ordinary Euclidean space when you zoom in, glued together using charts that transition smoothly.

#smooth manifolds#tangent space#chart+11
โˆ‘MathAdvanced

Betti Numbers

Betti numbers count independent k-dimensional holes: ฮฒโ‚€ counts connected components, ฮฒโ‚ counts independent loops/tunnels, and ฮฒโ‚‚ counts voids.

#betti numbers#homology#simplicial complex+12
๐Ÿ“šTheoryIntermediate

Topological Data Analysis (TDA)

Topological Data Analysis (TDA) studies the shape of data using tools from algebraic topology, producing summaries like Betti numbers, barcodes, and persistence diagrams.

#topological data analysis#persistent homology#vietorisโ€“rips complex+12