م |
عنوان المحاضرة |
عرض |
حفظ |
1 |
Lecture 31:Data mining 5 - Association Rules and Market Basket Analysis 2 |
|
|
2 |
Lecture 30: Data mining 4 – Association Rules and Market Basket Analysis 1 |
|
|
3 |
Lecture 29: Data mining -3 Linear Regression |
|
|
4 |
Lecture 28: Data mining -2- Decision Tress |
|
|
5 |
Lecture 27: Data mining -1- Decision Tress |
|
|
6 |
Lecture 26: Hybrid intelligent Systems- 4 Fuzzy Evolutionary Systems |
|
|
7 |
Lecture 25: Hybrid intelligent Systems- 2 Neural Evolutionary Systems |
|
|
8 |
Lecture 24: Hybrid intelligent Systems- 2 Neural Fuzzy Systems |
|
|
9 |
Lecture 23: Hybrid intelligent Systems- 1 Neural Expert Systems |
|
|
10 |
Lecture 22: Genetic Algorithm 3 - Evolution Strategy & Genetic Programming |
|
|
11 |
Lecture 21: Genetic Algorithm 2 - Case Study |
|
|
12 |
Lecture 20: Genetic Algorithm 1 - Basics |
|
|
13 |
Lecture 19: ANN - Unsupervised Learning - 2 Hebbian Learning |
|
|
14 |
Lecture 18: ANN - Unsupervised Learning - 1 Competitive Learning |
|
|
15 |
Lecture 17: Artificial Neural Networks – Supervised Learning -3 |
|
|
16 |
Lecture 16: Artificial Neural Networks – Supervised Learning -2 |
|
|
17 |
Lecture 15: Artificial Neural Networks Supervised Learning 1 |
|
|
18 |
Lecture 14: Fuzzy Reasoning 3 |
|
|
19 |
Lecture 13: Fuzzy Reasoning 2 |
|
|
20 |
Lecture 12: Uncertainty Management in Rule-Based Expert systems -3 Fuzzy Reasoning |
|
|
21 |
Lecture 11 : Uncertainty Management in Rule-Based Expert Systems -2 |
|
|
22 |
Lecture 10: Uncertainty Management in Rule-Based Expert Systems -1 |
|
|
23 |
Lecture 9: Rule-Based Expert Systems -2 |
|
|
24 |
Lecture 8: Rule-Based Expert Systems -1 |
|
|
25 |
Lecture 7: Adversarial Search - Minimax -2 |
|
|
26 |
Lecture 6: Adversarial Search: Minimax |
|
|
27 |
Lecture 5: Local Search Algorithms |
|
|
28 |
Lecture 4: A* Search Algorithm Examples |
|
|
29 |
Lecture 3: Informed Search Strategies |
|
|
30 |
Lecture 1: Solving Problems by Searching |
|
|