[Re-Upload] What is Linear Programming (LP)? (in 2 minutes) ***No Background Music***
Visually Explained
[Re-Upload] What is Linear Programming (LP)? (in 2 minutes) ***No Background Music***
2:37
[RE-UPLOAD] MOMENTUM Gradient Descent (in 3 minutes) *** No Background Music***
Visually Explained
[RE-UPLOAD] MOMENTUM Gradient Descent (in 3 minutes) *** No Background Music***
3:18
[RE-UPLOAD] STOCHASTIC Gradient Descent (in 3 minutes) *** No Background Music ***
Visually Explained
[RE-UPLOAD] STOCHASTIC Gradient Descent (in 3 minutes) *** No Background Music ***
3:34
[RE-UPLOAD] Gradient Descent in 3 minutes ***No Background Music***
Visually Explained
[RE-UPLOAD] Gradient Descent in 3 minutes ***No Background Music***
3:06
K-nearest Neighbors (KNN) in 3 min
Visually Explained
K-nearest Neighbors (KNN) in 3 min
3:12
Decision Trees - VisuallyExplained
Visually Explained
Decision Trees - VisuallyExplained
8:50
The Kernel Trick in Support Vector Machine (SVM)
Visually Explained
The Kernel Trick in Support Vector Machine (SVM)
3:18
Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)
Visually Explained
Goemans-Williamson Max-Cut Algorithm | The Practical Guide to Semidefinite Programming (4/4)
10:26
Goemans-Williamson Max-Cut Algorithm | Sneak peek from the upcoming video on SDP
Visually Explained
Goemans-Williamson Max-Cut Algorithm | Sneak peek from the upcoming video on SDP
0:16
Stability of Linear Dynamical Systems | The Practical Guide to Semidefinite Programming (3/4)
Visually Explained
Stability of Linear Dynamical Systems | The Practical Guide to Semidefinite Programming (3/4)
5:51
The Practical Guide to Semidefinite Programming (2/4)
Visually Explained
The Practical Guide to Semidefinite Programming (2/4)
7:26
What Does It Mean For a Matrix to be POSITIVE? The Practical Guide to Semidefinite Programming(1/4)
Visually Explained
What Does It Mean For a Matrix to be POSITIVE? The Practical Guide to Semidefinite Programming(1/4)
10:10
Linear Regression in 2 minutes
Visually Explained
Linear Regression in 2 minutes
2:34
Linear Programming (LP) (in 2 minutes)
Visually Explained
Linear Programming (LP) (in 2 minutes)
2:37
MOMENTUM Gradient Descent (in 3 minutes)
Visually Explained
MOMENTUM Gradient Descent (in 3 minutes)
3:18
STOCHASTIC Gradient Descent (in 3 minutes)
Visually Explained
STOCHASTIC Gradient Descent (in 3 minutes)
3:34
Gradient Descent in 3 minutes
Visually Explained
Gradient Descent in 3 minutes
3:07
Principal Component Analysis (PCA)
Visually Explained
Principal Component Analysis (PCA)
6:28
Support Vector Machine (SVM) in 2 minutes
Visually Explained
Support Vector Machine (SVM) in 2 minutes
2:19
Make Money Betting on Politics - Arbitrage with Predictit
Visually Explained
Make Money Betting on Politics - Arbitrage with Predictit
17:11
The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization
Visually Explained
The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization
21:58
Convexity and The Principle of Duality
Visually Explained
Convexity and The Principle of Duality
10:04
What Is Mathematical Optimization?
Visually Explained
What Is Mathematical Optimization?
11:35
How many times must you roll a die to get a six?
Visually Explained
How many times must you roll a die to get a six?
10:47
Visually Explained: Kalman Filters
Visually Explained
Visually Explained: Kalman Filters
11:16
Visually Explained: Newton's Method in Optimization
Visually Explained
Visually Explained: Newton's Method in Optimization
11:26