- Degree Bachelor
- Code: CCS4602
- Credit hrs: 3
- Prequisites: CCS3601
- Understand the basic concepts of genetic algorithm and its applications.
- Understand the basic concepts of advanced machine learning algorithms.
- Apply the basic principles of advanced machine learning algorithms on example data.
Computer Science bachelor`s degree Program
Data will be available soon!
content serial | Description |
---|
1 | Introduction |
2 | Genetic Algorithms |
3 | Genetic Programming Applications |
4 | Principal Component Analysis |
5 | Supervised Learning (Naive Bayes, K Nearest Neighbors) |
6 | Supervised Learning (Decision Trees, Random Forests, SVM) |
7 | Unsupervised Learning (Partitioning Clustering) |
8 | Unsupervised Learning (Hierarchical Clustering) |
9 | Unsupervised Learning (Density Based Clustering) |
10 | Recommendation Engines |
11 | Introduction to Deep Learning |
12 | Convolutional Neural Networks |
13 | New Trends in AI |
14 | Research Activities |
15 | Revision |
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