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Intelligent Systems

2024 · Wahyu Pebrianto

Description

This course covers intelligent systems: identifying problems, knowledge representation and search algorithms, classification, fuzzy logic for decision support, NLP and expert systems, and a course project.

Outline

1. Introduction to intelligent systems and how to identify problems
2. Knowledge representation and search algorithms
3. Classification: K-Means clustering and Naive Bayes
4. Classification: SVM and decision trees
5. Perceptron and exponential smoothing
6. Fuzzy logic and SAW for decision support systems
7. NLP and expert systems
8. Project
9. Pruning and ensemble learning
10. CNN
11. GPT
12. Intelligent systems project
13. Intelligent systems project
14. Intelligent systems project
15. Intelligent systems project

Course materials