Graph Theory Courses

Probability Theory and Stochastic Processes I - Lecture 5

Explore Principal Components Analysis and foundational probability concepts including Central Limit Theorem, utility optimization, and stochastic processes like martingales in finance.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Regression Analysis - Theory and Applications in Finance - Lecture 11

Explore advanced regression techniques including ridge, lasso, and principal components methods with applications to ETF analysis and Capital Asset Pricing Model validation.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Linear Algebra (cont.) - Probability Theory - Lecture 4

Master linear algebra concepts like eigenvalues and SVD, then explore probability theory fundamentals including distributions and covariance for finance applications.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Graph Neural Networks - Architectures and Message Passing - Lecture 5

Explore graph neural networks, their connections to MLPs and CNNs, message passing algorithms, and theoretical limitations on expressive power with practical implications.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Approximation Theory - Lecture 3

Explore how deep neural networks approximate functions through universal approximation theorems, Barron's theorem, and the role of depth in expressivity.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Generalization Theory - Overparameterization, Double Descent, and Inductive Biases - Lecture 6

Explore overparameterization, double descent, and VC dimension limitations while understanding how inductive biases shape deep learning generalization.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Representation Learning - Theory - Lecture 13

Explore the theoretical foundations of representation learning, examining architectural inductive biases and neural network connections to Gaussian processes.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Externalities in Theory and Practice - Lecture 3

Explore externalities through real-world examples of climate change and forest fires in this MIT public finance lecture by Prof. Jonathan Gruber.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Social Insurance Theory - Lecture 10

Explore inequality and government transfer programs through social insurance theory with Prof. Gruber's comprehensive analysis of public policy mechanisms.

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

Externalities in Theory - Lecture 2

Explore externalities theory through public goods, social insurance, and taxation frameworks with MIT's Prof. Gruber in this comprehensive public finance lecture.

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

Public Goods Theory, Optimality, and Pricing - Lecture 5

Explore public goods theory, optimality conditions, and pricing mechanisms for commodities provided without profit to all society members.

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

Divisibility - Number Theory and Applications Through GCD and Extended Euclidean Algorithm - Lecture 8

Explore number theory fundamentals through divisibility, greatest common divisor (GCD), and the Extended Euclidean Algorithm in this MIT mathematics lecture.

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

Graph Matching - Maximum Weight, Stable, and Bipartite Matching - Lecture 12

Explore graph matching theory including maximum weight matching, stable matching, and bipartite/non-bipartite graph algorithms in this MIT mathematics lecture.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Search Theory and Price Dispersion - Lecture 9

Explore search theory, including search costs and price dispersion, in this industrial organization lecture by Glenn Ellison at MIT.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Introduction to Genetic Algorithms: Theory and Applications

903 ratings at Udemy

Learn the main mechanisms of Genetic Algorithm as a heursitic Artificial Intalligence search or optimization in Matlab

• Udemy
• 7 hours 6 minutes
• Self-Paced
• Paid Course