CSE422

Artificial Intelligence

[TRZ, FYS, IBU, SWG]66 Videos

Search algorithms, probability theory, machine learning, neural networks, and AI problem solving techniques.

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66 Videos

Introduction

2
1
Introduction [TRZ]

Introduction [TRZ]

38:16
2
Introduction to AI [TRZ]

Introduction to AI [TRZ]

38:16

Agents & Environment

6
1
Agents [TRZ]

Agents [TRZ]

1:00:50
2
Environment [TRZ]

Environment [TRZ]

40:27
3
Agents in AI [TRZ]

Agents in AI [TRZ]

1:00:50
4
Environment in AI [TRZ]

Environment in AI [TRZ]

40:27
5
Agents 1 [FYS]

Agents 1 [FYS]

51:41
6
Agents 2 [FYS]

Agents 2 [FYS]

54:35

Uninformed Search

6
1
Uninformed Search 1 [TRZ]

Uninformed Search 1 [TRZ]

1:13:35
2
Uninformed Search 2 [TRZ]

Uninformed Search 2 [TRZ]

1:24:18
3
Uninformed Search 1 [TRZ]

Uninformed Search 1 [TRZ]

1:13:35
4
Uninformed Search 2 [TRZ]

Uninformed Search 2 [TRZ]

1:24:18
5
Uninformed Search 1 [FYS]

Uninformed Search 1 [FYS]

55:27
6
Uninformed Search 2 [FYS]

Uninformed Search 2 [FYS]

59:28

Informed Search

6
1
Informed Search 1 [TRZ]

Informed Search 1 [TRZ]

57:55
2
Informed Search 2 [TRZ]

Informed Search 2 [TRZ]

43:32
3
Informed Search 1 [TRZ]

Informed Search 1 [TRZ]

57:55
4
Informed Search 2 [TRZ]

Informed Search 2 [TRZ]

43:32
5
Informed Search 1 [FYS]

Informed Search 1 [FYS]

1:00:14
6
Informed Search 2 [FYS]

Informed Search 2 [FYS]

29:38

Local Search

3
1
Local Search [TRZ]

Local Search [TRZ]

1:05:58
2
Local Search [TRZ]

Local Search [TRZ]

1:05:58
3
Local Search [FYS]

Local Search [FYS]

56:23

CSP

6
1
CSP 1 [TRZ]

CSP 1 [TRZ]

1:13:38
2
CSP 2 [TRZ]

CSP 2 [TRZ]

21:41
3
CSP 1 [TRZ]

CSP 1 [TRZ]

1:13:38
4
CSP 2 [TRZ]

CSP 2 [TRZ]

21:41
5
CSP 1 [FYS]

CSP 1 [FYS]

55:31
6
CSP 2 [FYS]

CSP 2 [FYS]

30:40

Genetic Algorithm

3
1
Genetic Algorithm [TRZ]

Genetic Algorithm [TRZ]

57:28
2
Genetic Algorithm [TRZ]

Genetic Algorithm [TRZ]

57:28
3
Genetic Algorithm [FYS]

Genetic Algorithm [FYS]

37:00

Games & Adversarial Search

2
1
Games [TRZ]

Games [TRZ]

1:23:48
2
Games [TRZ]

Games [TRZ]

1:23:48

Probability Theory

8
1
Probability Theory 1 [TRZ]

Probability Theory 1 [TRZ]

1:01:57
2
Probability Theory 2 [TRZ]

Probability Theory 2 [TRZ]

43:51
3
Probability Theory 1 [TRZ]

Probability Theory 1 [TRZ]

1:01:57
4
Probability Theory 2 [TRZ]

Probability Theory 2 [TRZ]

43:51
5
Probability Theory 1 [FYS]

Probability Theory 1 [FYS]

56:37
6
Probability Theory

Probability Theory

58:12
7
Probability Theory Part 2

Probability Theory Part 2

45:21
8
Probability Theory Shortcuts

Probability Theory Shortcuts

58:08

Naive Bayes

7
1
Naive Bayes 1 [TRZ]

Naive Bayes 1 [TRZ]

52:22
2
Naive Bayes 2 [TRZ]

Naive Bayes 2 [TRZ]

50:42
3
Naive Bayes 1 [TRZ]

Naive Bayes 1 [TRZ]

52:22
4
Naive Bayes 2 [TRZ]

Naive Bayes 2 [TRZ]

50:42
5
Naive Bayes [FYS]

Naive Bayes [FYS]

43:01
6
Naive Bayes

Naive Bayes

49:35
7
Naive Bayes Classifier

Naive Bayes Classifier

28:41

Decision Tree

7
1
Decision Tree 1 [TRZ]

Decision Tree 1 [TRZ]

48:22
2
Decision Tree 2 [TRZ]

Decision Tree 2 [TRZ]

56:39
3
Decision Tree 1 [TRZ]

Decision Tree 1 [TRZ]

48:22
4
Decision Tree 2 [TRZ]

Decision Tree 2 [TRZ]

56:39
5
Decision Tree 1 [FYS]

Decision Tree 1 [FYS]

55:54
6
Decision Tree

Decision Tree

1:16:06
7
Decision Tree (ID3 Algorithm)

Decision Tree (ID3 Algorithm)

41:57

Linear Regression

4
1
Intro to ML

Intro to ML

54:05
2
Linear Regression

Linear Regression

1:10:42
3
Gradient Descent & Linear Regression

Gradient Descent & Linear Regression

1:33:54
4
Gradient Descent

Gradient Descent

36:27

Logistic Regression & Neural Networks

3
1
Logistic Regression & Neural Network Perceptrons

Logistic Regression & Neural Network Perceptrons

2:56:14
2
Neural Network

Neural Network

1:47:12
3
Neural Networks, Logistic Regression & Linear Regression

Neural Networks, Logistic Regression & Linear Regression

44:40

Review & Labs

3
1
Final Exam Review

Final Exam Review

15:12
2
Lab: Neural Networks & Regression Classification

Lab: Neural Networks & Regression Classification

53:55
3
Project Tutorial: Classical ML Modeling

Project Tutorial: Classical ML Modeling

22:15