Inhalt

[ 536COSCPP2V20 ] VL (*)Programming in Python II

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS B1 - Bachelor 1. Jahr Informatik Sepp Hochreiter 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Artificial Intelligence 2020W
Ziele (*)This lecture follows up on Programming in Python I and shall enable the students to solve more complex scientific tasks in the area of machine learning (ML) and AI. After completing the course, students will be able to realize ML projects, including the implementation of data preparation, data (pre)processing pipelines, neural network architectures, model training, and model evaluation, in Python.
Lehrinhalte (*)
  • Realization of a machine learning project in Python
  • Data preparation
  • Fast data (pre)processing in Python
  • Implementation of different neural network architectures
  • Training of neural network models
  • Evaluation of neural network models
  • Optimizing Python code
  • Pytorch/Tensorflow (CPU/GPU computation for machine learning and AI)
Beurteilungskriterien (*)Online Exams
Abhaltungssprache Englisch
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)in collaboration with 536COSCPP2U20: UE Programming in Python II (1.5 ECTS) equivalent to
536COSCPP2K19: KV Programming in Python II (3 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung