Visually Explained

Visually Explained: Newton's Method in Optimization

What Is Mathematical Optimization?

Support Vector Machine (SVM) in 2 minutes

The Kernel Trick in Support Vector Machine (SVM)

Visually Explained: Kalman Filters

Gradient Descent in 3 minutes

The Practical Guide to Semidefinite Programming (2/4)

Principal Component Analysis (PCA)

STOCHASTIC Gradient Descent (in 3 minutes)

Convexity and The Principle of Duality

Linear Programming (LP) (in 2 minutes)

Visually Explained: Newton's Method in Optimization

K-nearest Neighbors (KNN) in 3 min

Linear Regression in 2 minutes

Make Money Betting on Politics - Arbitrage with Predictit

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

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

MOMENTUM Gradient Descent (in 3 minutes)

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

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

Logistic Regression (and why it's different from Linear Regression)

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

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