Es ist eine neuere Version 2024W dieser LV im Curriculum Bachelorstudium Statistik und Data Science 2024W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
1,5 ECTS
B1 - Bachelor 1. Jahr
Artificial Intelligence
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)
