23:21

Logistic Regression 3: Gradient Descent

07:00

Logistic Regression 4: Deriving Gradients

12:36

Logistic Regression 2: Loss Function

20:52

Logistic Regression 1: How It Works (Sigmoid)

08:46

Simple Linear Regression (Least Square Estimates)

10:48

Simple Linear Regression

14:16

Data Mining/Machine Learning: Train & Test Data Sets, Cross-Validation

10:56

Performance Evaluation: Confusion Matrix, Accuracy, Precision, Recall, F1-score

11:10

Supervised & Unsupervised Learning in Data Mining/Machine Learning

10:42

Data Mining/Machine Learning: Overview

30:40

NLP.3 Solving One Variable NLP (Nonlinear Programming)

18:29

NLP.2c Hessian Matrix, Principal Minors (Nonlinear Programming)

16:59

NLP.2b Convex vs. Concave Functions (Nonlinear Programming)

16:27

numpy Package in Python (Introduction)

11:10

Functions in Computer Programming (Part 2/2)

22:34

Functions in Computer Programming (Part 1/2)

09:22

Week7.3 Transshipment Problems

12:23

Week7.2 Assignment Problems (Hungarian Method)

19:04

Week7.1 Sensitivity Analysis (Transportation Problems)

09:32

Week6.10 Transportation Simplex Algorithm (Example)

16:46

Week6.9 Transportation Simplex Algorithm

09:55

Week6.8 Transportation Simplex (Pivot)

10:41

Week6.7 Finding bfs: Vogel's Method (Transportation Problems)

10:25

Week6.6 Finding bfs: Minimum Cost (Transportation Problems)

14:38

Week6.5 Finding bfs: Northwest Corner (Transportation Problem)

10:13

Week6.4 Finding bfs (Transportation Problems)

16:50

Week6.3 Inventory (Modeled as a Transportation Problem)

10:27

Week6.2 Balanced Transportation Problem

13:05

Week6.1 Transportation Problem (Intro)

14:41

Week5.2 Probabilistic Dynamic Programming Formulation (Parking Space)

19:51

Week5.1 Probabilistic Dynamic Programming Formulation (Cash Management)

17:38

Week4.4 Probabilistic Dynamic Programming Formulation (Fishing)

07:48

Week4.3 Probabilistic Dynamic Programming Formulation (Sunco Oil)

22:40

Week4.2 Probabilistic Dynamic Programming (Inventory)

24:34

Week4.1 Probabilistic Dynamic Programming (Milk)

02:09

Week3.Q7 Quiz (Nonadditive: Glueco Example)

13:37

Week3.7 Nonadditive Recursions #2 [Dynamic Programming]

12:56

Week3.6 Nonadditive Recursions #1 [Dynamic Programming]

21:43

Week3.5 Formulating Recursions (Traveling Salesperson) [Dynamic Programming]

09:46

Week3.4 Formulating Recursions (Refinery Capacity) [Dynamic Programming]

03:32

Week3.Q3 Quiz (Wheat Sale)

24:06

Week3.3 Formulating Recursions (Wheat Sale) [Dynamic Programming]

02:36

Week3.Q2 Quiz (Power Plant)

11:24

Week3.2 Formulating Recursions (Power Plant) [Dynamic Programming]

02:52

Week3.Q1 Quiz (Fishery)

20:30

Week3.1 Formulating Recursions (Fishery) [Dynamic Programming]

10:22

Week2.5 Equipment-Replacement Problem #2 (Dynamic Programming)

19:24

Week2.4 Equipment-Replacement Problem (Dynamic Programming)

16:43

Week2.3 Knapsack Problem (Dynamic Programming)

12:49

Week2.2 Resource-Allocation Problem (Dynamic Programming)

32:54

Week2.1 Inventory Problem (Dynamic Programming)

14:13

Week1.4 Characteristics of Dynamic Programming

07:44

Week1.3 Computational Efficiency of Dynamic Programming

06:34

Week1.2 Quiz on Shortest Path (Dynamic Programming)

26:21

Week1.2 Shortest Path (Deterministic Dynamic Programming)

13:31

Week1.1 Deterministic Dynamic Programming (Introduction)

08:06

QM for Windows

18:50

Week 13. Revised Simplex Algorithm

26:34

Game Theory 12.3 Shapley Value

24:14

Game Theory 12.2 The Core