Intelligent Information Systems and Big Data

Објавено: December 13, 2018

Course: Intelligent Information Systems and Big Data

Code3ФЕИТ07002

ECTS points: 6 ECTS

Number of classes per week: 3+0+0+3

LecturerAsst. 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