Все публикации

0:03:18

The Kernel Trick in Support Vector Machine (SVM)

0:10:26

Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)

0:00:16

Goemans-Williamson Max-Cut Algorithm | Sneak peek from the upcoming video on SDP

0:05:51

Stability of Linear Dynamical Systems | The Practical Guide to Semidefinite Programming (3/4)

0:07:26

The Practical Guide to Semidefinite Programming (2/4)

0:10:10

What Does It Mean For a Matrix to be POSITIVE? The Practical Guide to Semidefinite Programming(1/4)

0:02:34

Linear Regression in 2 minutes

0:02:37

What is Linear Programming (LP)? (in 2 minutes)

0:03:18

Accelerate Gradient Descent with Momentum (in 3 minutes)

0:03:34

The Unreasonable Effectiveness of Stochastic Gradient Descent (in 3 minutes)

0:03:06

Gradient Descent in 3 minutes

0:06:28

Principal Component Analysis (PCA)

0:02:19

Support Vector Machine (SVM) in 2 minutes

0:17:11

Make Money Betting on Politics - Arbitrage with Predictit

0:21:58

The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization

0:10:04

Convexity and The Principle of Duality

0:11:35

What Is Mathematical Optimization?

0:10:47

How many times must you roll a die to get a six?

0:11:16

Visually Explained: Kalman Filters

0:11:26

Visually Explained: Newton's Method in Optimization