Graph Analysis of Russian Twitter Trolls Using Neo4j
Explore graph analysis of Russian Twitter trolls using Neo4j. Learn about data collection, NLP, graph algorithms, and visualization techniques to uncover social media influence patterns.
Applied Statistics
Comprehensive introduction to statistics covering descriptive and inferential methods, probability, distributions, hypothesis testing, and regression analysis with practical applications and examples.
A Levels P1
Comprehensive A-Level mathematics coverage including coordinate geometry, trigonometry, differentiation, integration, and sequences, with exam techniques and advanced problem-solving.
Everything You Need to Know About Functions in Pre-Calculus - Full Lesson
Comprehensive guide to pre-calculus functions, covering characteristics, domains, transformations, piecewise functions, operations, and inverses with detailed examples and practical applications.
Inverse Trigonometric Functions - Evaluating the Composition of Inverse Trigonometric Functions
Explore inverse trigonometric functions, their graphs, and domain restrictions. Learn to evaluate compositions and solve problems involving arcsin, arccos, arctan, and other inverse trig functions.
AP Calculus AB and BC - Unit 1 Review - Limits and Continuity
Comprehensive review of limits and continuity for AP Calculus AB/BC, covering key concepts, theorems, and problem-solving techniques with clear explanations and examples.
Budget Constraint, Opportunity Cost, and Law of Diminishing Marginal Utility
Explore key economic concepts: budget constraints, opportunity costs, and diminishing marginal utility. Learn to analyze consumer choices and maximize utility within financial limitations.
Graph Convolutional Networks - GCNs
Explore Graph Convolutional Networks: from traditional ConvNets to spectral and spatial approaches. Learn architectures, implementations, and applications of GCNs in this comprehensive lecture.
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Explore techniques for recovering private edges in graph neural networks through influence analysis, addressing privacy risks in vertically partitioned graph data.
Understanding Graph Neural Networks - Part 1
Comprehensive introduction to Graph Neural Networks, covering fundamentals, mathematics, and practical implementation using NetworkX and PyG. Ideal for beginners seeking hands-on experience with GNNs.
Unsupervised Features Learning for Sampled Vector Fields
Explore innovative techniques for analyzing sampled vector fields using graph structures and unsupervised learning, revealing hidden features correlated with known dynamics in analytical models.
Optimization for Data Analysis
Explore optimization techniques for data analysis and machine learning, covering kernel learning, regression, graph analysis, neural networks, and matrix analysis. Learn about regularization and gradient methods.
Clara Stegehuis- Optimization-Based Analysis of Random Graphs I
Explore random graph models, focusing on power-law degree distributions and optimization-based methods to analyze network properties and underlying geometries.
Science Before Statistics - Causal Inference
Comprehensive workshop on causal inference, covering key concepts like causal design, graph analysis, and Bayesian inference. Equips researchers with tools to navigate complex causal relationships in data analysis.
The Ubiquity of ADE Graphs, and the Mutation and Numbers Games - Math Seminars
Explore ADE graphs' mathematical significance, mutation games, and connections to advanced fields like Lie algebra, root systems, and physics in this insightful seminar on combinatorial structures.
Limits and Rational Poly On-Sequences - Real Numbers + Limits Math Foundations | N J Wildberger
Explore rational polynumbers, infinite sequences, and the concept of infinity in mathematics. Learn about factorizations, limiting behaviors, and the delicate nature of associating sequences with rational functions.
Graph Theory and Algorithms
Explore graph theory fundamentals, Kcut algorithms, and weighted min cut problems in this comprehensive overview of advanced algorithmic concepts.
AP Calculus AB and BC Free Response Questions Review - 55 Problems
Comprehensive review of AP Calculus AB/BC topics through 55 free-response questions, offering in-depth solutions and exam preparation for advanced mathematics students.
Physics Practical Graph: Refractive Index of a Triangular Prism - 2023 Solutions
Solve physics practical graph questions on refractive index of triangular prisms. Learn to calculate minimum deviation, angle of incidence, and experimental errors for first-year exams.
Physics Practical Graph Questions and Solutions - 2023
Solve physics practical graph questions for first-year university students, focusing on exam preparation and problem-solving techniques.
Physics Practical Graph Examination - Question and Answers 2023
Master plotting and interpreting physics practical graphs. Learn to solve examination questions through step-by-step explanations and techniques for accurate graph analysis and slope interpretation.