Graph Theory Courses

IPhT-TV

Exactly Solvable 2D Conformal Field Theory - Computing Conformal Blocks and Numerical Bootstrap - Lecture 5

Explore advanced concepts in 2D conformal field theory, focusing on computing conformal blocks and numerical bootstrap techniques. Gain insights into exactly solvable CFTs and their applications.

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

Simons Institute

Prediction, Generalization, and Complexity: Classical Statistical Theory Revisited - Part 1

Explore classical statistical decision theory's insights on prediction error, generalization gap, and model complexity. Examine fixed-X perspective limitations and extend concepts to random-X settings in machine learning.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Simons Institute

Overview of Statistical Learning Theory - Part 2

Explore fundamental concepts in statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theory and modern applications.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Simons Institute

Overview of Statistical Learning Theory - Part 1

Explore fundamental concepts of statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theories and their relevance to modern machine learning paradigms.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Simons Institute

Prediction, Generalization, and Complexity in Statistical Decision Theory - Part 2

Explore statistical decision theory's insights on prediction error, generalization gap, and model complexity. Examine fixed-X vs. random-X perspectives and their implications for machine learning.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Simons Institute

A Theory of Multi-objective Machine Learning

Explore multi-objective learning as a unifying paradigm for robustness, collaboration, and fairness in machine learning, with technical tools and empirical evidence.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Yudovich Theory for Rough Path Perturbations of Euler's Equation - Lecture 5

Explore Yudovich Theory for rough path perturbations of Euler's equation, delving into advanced fluid dynamics concepts and mathematical techniques.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Yudovich Theory for Rough Path Perturbations of Euler's Equation - Lecture 4

Explore Yudovich Theory for rough path perturbations of Euler's equation, delving into advanced fluid dynamics concepts and mathematical techniques for analyzing fluid flow.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Wolfram

Computational Number Theory in the Modern World

Explore modern computational number theory, covering primes, factorization, divisibility, congruence, and advanced topics like analytic and additive number theory.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Wolfram

An Overview of Number Theory

Explore number theory fundamentals including factoring, Diophantine problem solving, and primality testing in this comprehensive overview by Lusine Sukiasyan.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

SQLBits

Unraveling the Web of Relationships: Understanding Graph Data

Explore graph theory basics, real-world applications, and the growing importance of graph databases in solving complex data challenges across industries.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

The ASF

Build a Stream Graph Processing System Based on Apache Calcite and Gremlin

Explore building a streaming graph engine using Apache Calcite and Gremlin. Learn about GeaFlow's query language and its applications in real-time graph processing at Ant Group.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Data Science Festival

Causal Inference in Python: From Theory to Practice

Explore causal inference in Python, moving beyond association to causation. Learn graphical causal models, do-calculus, and apply the causal data science pipeline to retail problems using DoWhy library.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Data Science Festival

Graphs Are Everywhere - Understanding Graph Databases and Social Graphs

Explore graph databases and their applications in social networks, analytics, and decision-making. Learn about their scalability, performance, and advantages over traditional databases for interconnected data.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Data Science Festival

Graph Machine Learning: Enhancing ML with Network Graphs and Embeddings

Explore graph-based machine learning techniques to enhance data analysis and uncover hidden relationships in your datasets. Learn to leverage network graphs for improved model performance.

• YouTube
• 59 minutes
• Self-Paced
• Free Video