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

Lesson 16: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Massively Parallel Comput Lower Bounds 1

Lesson 7: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Puzzle Problem NP-Hardness via 3-SAT

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

Live of Prof Hajiaghayi & Prof Shree Nayar of Columbia U. on Computer Vision & Computational Imaging

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

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

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

Lesson 6: Network Algorithms and Approximations by Mohammad Hajiaghayi: Embedding Tree Applications

Lesson 18: Network Algorithms and Approximations by Mohammad Hajiaghayi: Network Streaming 2

Lesson 8: Network Algorithms and Approximations by Mohammad Hajiaghayi: Network Design Problems

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

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

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

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

Lesson 10: Introduction to Algorithms by Mohammad Hajiaghayi: C++ STL, Binary Search & Applications

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

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

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

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

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

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

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