Course: Intelligent Information Systems and Big Data
Code: 3ФЕИТ07002
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Asst. Prof. Dr. Hristijan Djoreski
Course Goals (acquired competencies): Working with Intelligent Systems. Artificial Intelligence and Machine Learning algorithms. Big data analysis and agent systems.
Course Syllabus: Big data analysis, working with inter-data dependency, and usage for creation of Intelligent Systems. Data processing and analysis by using different Artificial Intelligence and Machine Learning algorithms. Algorithms for analyzing natural languages (text, speech – Natural Language Processing), pictures, and similar. Implementing and evaluating the algorithms using Java or Python development environment (Weka, sklearn, tflearn, numpy, matplotlib, pandas)
Literature:
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Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
|
1 |
Kuhn, M., Johnson, K. | "Applied Predictive Modeling" | Springer, New York | 2013 |
|
2 |
Willi R., Luis P. C. | “Building Machine Learning Systems with Python” | PACKT | 2013 |
|
3 |
Sebastian, R. | “Python Machine Learning" | PACKT | 2015 |
