Download CI Syllabus PDF Free - Full Version
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About CI Syllabus
This 3 credit course introduces students to basic principles of computational intelligence methods for data processing, including machine learning, neural networks, genetic algorithms, and particle swarm optimization. The course is divided into 5 units that cover topics such as inductive learning, supervised and unsupervised learning, decision trees, backpropagation neural networks, genetic algorithms, particle swarm optimization, and reinforcement learning. Students will develop conceptual understanding of key algorithms and be able to implement examples to solve tasks. Assessment includes a midterm exam, final exam, and internal assessment.
Detailed Information
| Author: | ['Hello friends'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 2 |
| Language: | English |
| Format: | |
| Price: | FREE |
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