Intelligent Information Systems and Big Data
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:
Required Literature |
||||
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 |