🎓How I Study AIHISA
📖Read
📄Papers📰Blogs🎬Courses
💡Learn
🛤️Paths📚Topics💡Concepts🎴Shorts
🎯Practice
📝Daily Log🎯Prompts🧠Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Concepts532

Groups

📐Linear Algebra15📈Calculus & Differentiation10🎯Optimization14🎲Probability Theory12📊Statistics for ML9📡Information Theory10🔺Convex Optimization7🔢Numerical Methods6🕸Graph Theory for Deep Learning6🔵Topology for ML5🌐Differential Geometry6∞Measure Theory & Functional Analysis6🎰Random Matrix Theory5🌊Fourier Analysis & Signal Processing9🎰Sampling & Monte Carlo Methods10🧠Deep Learning Theory12🛡️Regularization Theory11👁️Attention & Transformer Theory10🎨Generative Model Theory11🔮Representation Learning10🎮Reinforcement Learning Mathematics9🔄Variational Methods8📉Loss Functions & Objectives10⏱️Sequence & Temporal Models8💎Geometric Deep Learning8

Category

🔷All∑Math⚙️Algo🗂️DS📚Theory

Level

AllBeginnerIntermediateAdvanced
⚙️AlgorithmIntermediate

Edit Distance

Edit distance (Levenshtein distance) measures the minimum number of inserts, deletes, and replaces needed to turn one string into another.

#edit distance#levenshtein#dynamic programming+11
⚙️AlgorithmIntermediate

Longest Increasing Subsequence

The Longest Increasing Subsequence (LIS) is the longest sequence you can extract from an array while keeping the original order and making each next element strictly larger.

#longest increasing subsequence
3435363738
#lis
#dynamic programming
+12
⚙️AlgorithmIntermediate

2-SAT

2-SAT solves Boolean formulas where every clause has exactly two literals, and it is solvable in linear time relative to the size of the implication graph.

#2-sat#implication graph#strongly connected components+12
⚙️AlgorithmIntermediate

Euler Path and Circuit

An Euler path visits every edge exactly once, and an Euler circuit is an Euler path that starts and ends at the same vertex.

#euler path#euler circuit#hierholzer algorithm+12
⚙️AlgorithmIntermediate

Knapsack Problems

Knapsack problems ask how to pick items under a weight (or cost) limit to maximize value or to check if a target sum is reachable.

#0/1 knapsack#unbounded knapsack#bounded knapsack+12
⚙️AlgorithmIntermediate

Coin Change and Variants

Coin Change uses dynamic programming to find either the minimum number of coins to reach a target or the number of ways to reach it.

#coin change#dynamic programming#unbounded knapsack+12
⚙️AlgorithmIntermediate

Dynamic Programming Fundamentals

Dynamic programming (DP) solves complex problems by breaking them into overlapping subproblems and using their optimal substructure.

#dynamic programming#memoization#tabulation+12
⚙️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
∑MathIntermediate

Linear Basis for XOR

A linear basis for XOR is a compact set of at most W numbers (W = number of bits) that can generate every XOR value obtainable from a multiset of numbers.

#xor basis#linear basis#gaussian elimination f2+12
∑MathAdvanced

Game Theory - Advanced Games

Sprague–Grundy (SG) theory solves impartial, normal-play, terminating games by assigning each position a nonnegative integer called its Grundy value.

#sprague-grundy#grundy number#nim-sum+12
∑MathIntermediate

Matrix Rank and Linear Independence

Matrix rank is the number of pivots after Gaussian elimination and equals the dimension of both the column space and the row space.

#matrix rank#linear independence#gaussian elimination+12
∑MathAdvanced

Berlekamp-Massey Algorithm

Berlekamp–Massey (BM) finds the shortest linear recurrence that exactly fits a given sequence over a field (e.g., modulo a prime).

#berlekamp-massey#linear recurrence#minimal polynomial+11