Event

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Event

Semester: Winter term 2020

1.07.281 Frei wählbares Modul: Big Data and Machine Learning in Social Sciences (Computational Social Science) -  


Event date(s) | room

  • Donnerstag, 22.10.2020 10:00 - 12:00 | online
  • Donnerstag, 29.10.2020 10:00 - 12:00 | online
  • Donnerstag, 5.11.2020 10:00 - 12:00 | online
  • Donnerstag, 12.11.2020 10:00 - 12:00 | online
  • Donnerstag, 19.11.2020 10:00 - 12:00 | online
  • Donnerstag, 26.11.2020 10:00 - 12:00 | online
  • Donnerstag, 3.12.2020 10:00 - 12:00 | online
  • Donnerstag, 10.12.2020 10:00 - 12:00 | online
  • Donnerstag, 17.12.2020 10:00 - 12:00 | online
  • Donnerstag, 7.1.2021 10:00 - 12:00 | online
  • Donnerstag, 14.1.2021 10:00 - 12:00 | online
  • Donnerstag, 21.1.2021 10:00 - 12:00 | online
  • Donnerstag, 28.1.2021 10:00 - 12:00 | online
  • Donnerstag, 4.2.2021 10:00 - 12:00 | online

Description

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 programming knowledge is not required. The seminar is designed for students at various levels with a general interest in digitalization and computational social science.

lecturer

Study fields

  • Studium generale / Gasthörstudium

SWS
2

Lehrsprache
englisch

Anzahl der freigegebenen Plätze für Gasthörende
5

Für Gasthörende / Studium generale geöffnet:
Ja

Hinweise zum Inhalt der Veranstaltung für Gasthörende
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 programming knowledge is not required. The seminar is designed for students at various levels with a general interest in digitalization and computational social science.

(Changed: 19 Jan 2024)  | 
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