Veranstaltung
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Veranstaltung
Semester:
Wintersemester
2018
1.07.281 Freiwählbares Modul: Big Data and Machine Learning in Social Sciences (Computational Social Science) -
Veranstaltungstermin | Raum
- Donnerstag, 18.10.2018 12:00 - 14:00 | A06 4-411
- Freitag, 9.11.2018 14:00 - 18:00 | A06 3-313 (OLExS-Labor)
- Samstag, 10.11.2018 9:00 - 15:00 | A06 3-313 (OLExS-Labor)
- Freitag, 7.12.2018 14:00 - 18:00 | A06 3-313 (OLExS-Labor)
- Samstag, 8.12.2018 9:00 - 15:00 | A06 3-313 (OLExS-Labor)
- Freitag, 11.1.2019 14:00 - 18:00 | A06 3-313 (OLExS-Labor)
- Samstag, 12.1.2019 9:00 - 15:00 | A06 3-313 (OLExS-Labor)
Beschreibung
The course focuses on data extraction and machine learning for image and text classification using Python and TensorFlow (https://www. tensorflow.org/). After learning the basic programming skills of Python, students practice data collection via the Twitter API and classify the collected data using machine learning. At the end of the course, students will be familiar with Python and TensorFlow to use this knowledge for their own further research.
The course is held in English. Previous programing knowledge is not required. The seminar is designed for students at various levels with a general interest in digitalization and computational social science.
The course is held in English. Previous programing knowledge is not required. The seminar is designed for students at various levels with a general interest in digitalization and computational social science.
lecturer
SWS
2
Lehrsprache
englisch