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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