Mohammad Hajiaghayi

Lesson 5: Network Algorithms and Approximations by Mohammad Hajiaghayi: Probabilistic Embedding Tree

Lesson 16: Network Algorithms and Approximations by Mohammad Hajiaghayi: Simplifying Decompositions

Lesson 5: Network Algorithms and Approximations by Mohammad Hajiaghayi: Probabilistic Embedding Tree

Lesson 2: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part1

Lesson 4: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Linear Programming

Lesson 11: Computational Game Theory by Mohammad Hajiaghayi: Price of Anarchy and Braess's Paradox

Lesson 10: Principles of Data Science by Mohammad Hajiaghayi: Entity Resolution, Missing Data

Lesson 13: Principles of Data Science by Mohammad Hajiaghayi: Data Science Ethics and Best Practices

Lesson 1: Computational Game Theory by Mohammad Hajiaghayi: Introduction and Motivation

Lesson 4: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 2

Lesson 6: Computational Game Theory by Mohammad Hajiaghayi: Important Normal Form Games

Lesson 24: Network Algorithms and Approximations by Mohammad Hajiaghayi:Steiner Tree (Peyman Jabbar)

Lesson 7: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling & Computation Tools

Lesson 6: Principles of Data Science by Mohammad Hajiaghayi: Data Collection and Loading Tools

Lesson 5: Computational Game Theory by Mohammad Hajiaghayi: Normal Form Games

Lesson 12: Principles of Data Science by Mohammad Hajiaghayi: Information Visualization

Lesson 1: Principles of Data Science by Mohammad Hajiaghayi: Introduction to Data Science

Lesson 5: Principles of Data Science by Mohammad Hajiaghayi: Basic Statistics and ML Algorithms

Lesson 8: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling, SQL & NoSQL

Lesson 8: Computational Game Theory by Mohammad Hajiaghayi: Best Response and Nash Equilibrium

Lesson 9: Computational Game Theory by Mohammad Hajiaghayi: Finding Nash Equilibria

Lesson 9: Principles of Data Science by Mohammad Hajiaghayi: Data Wrangling and Cleaning

Lesson 3: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 1

Lesson 2: Principles of Data Science by Mohammad Hajiaghayi: Introduction and Further Motivations

Lesson 3: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part2

Lesson 10: Computational Game Theory by Mohammad Hajiaghayi: Ɛ-Nash Equilibria and Dominant Strategy

Lesson 7: Computational Game Theory by Mohammad Hajiaghayi: Analyzing Normal Form Games

Lesson 21: Introduction to Algorithms by Mohammad Hajiaghayi: Memoization & Approximation Algorithms

Lesson 13: Network Algorithms and Approximations by Mohammad Hajiaghayi: Tree Embedding Cut Problems

Lesson 3: Network Algorithms and Approximations by Mohammad Hajiaghayi: Maximum Coverage

Lesson 1: Network Algorithms and Approximations by Mohammad Hajiaghayi: Introduction and Set Cover