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 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

Lesson 20: Network Algorithms and Approximations by Mohammad Hajiaghayi: Metric Facility Location

Lesson 23: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Fixed-Parameter Algorithm Lower Bounds 3

Lesson 21: Network Algorithms and Approximations by Mohammad Hajiaghayi:Con Facility & Group Steiner

Lesson 20: Algorithmic Lower Bounds by Mohammad Hajiaghayi: PCP Theorem for Approximation Hardness 2

Lesson 12: Network Algorithms and Approximations by Mohammad Hajiaghayi: Oblivious Routing

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

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

Lesson 17: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Massively Parallel Comput Lower Bounds 2

Lesson 18: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Approximability and Inapproximability

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

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

Lesson 19: Network Algorithms and Approximations by Mohammad Hajiaghayi: k-Center and k-Median

Lesson 17: Network Algorithms and Approximations by Mohammad Hajiaghayi: Network Streaming

Lesson 21: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Fixed-Parameter Algorithm Lower Bounds 1

Lesson 22: Algorithmic Lower Bounds by Mohammad Hajiaghayi: Fixed-Parameter Algorithm Lower Bounds 2

Lesson 23: Network Algorithms and Approximations by Mohammad Hajiaghayi: Iterative Rounding Method 2

Lesson 22: Network Algorithms and Approximations by Mohammad Hajiaghayi: Iterative Rounding Method 1

Lesson 15: Network Algorithms and Approximations by Mohammad Hajiaghayi: Bidimensionality Theory 2

Lesson 11: Network Algorithms and Approximations by Mohammad Hajiaghayi: Oblivious and Universal

Lesson 7: Network Algorithms and Approximations by Mohammad Hajiaghayi: FRT Embeddings into Trees

Lesson 10: Network Algorithms and Approximations by Mohammad Hajiaghayi: Non-Uniform Buy-at-Bulk

Lesson 19: Algorithmic Lower Bounds by Mohammad Hajiaghayi: PCP Theorem for Approximation Hardness 1

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

Lesson 14: Network Algorithms and Approximations by Mohammad Hajiaghayi: Bidimensionality Theory 1

Lesson 9: Network Algorithms and Approximations by Mohammad Hajiaghayi: Uniform Buy-at-Bulk Network

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

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

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

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

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

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