Kursbeschreibung

This workshop offers a hands-on introduction to artificial intelligence and machine learning with Python. After a short refresher in Python and a short

introduction to the fundamentals of artificial intelligence, the participants make first steps in machine learning using the scikit-learn package

(classifiers, linear models, decision trees). In addition, the basics of deep learning with neural networks are covered using TensorFlow and PyTorch. The workshop also includes a short introduction to data visualization with the Matplotlib library.

Learning Objectives:

The participants...

• understand fundamental concepts of machine learning and deep learning.

• are able to prepare and analyze data in Python using NumPy and pandas.

• are able to train and evaluate simple machine learning models with scikit-learn.

• are able to use TensorFlow and PyTorch to implement simple neural network models for basic classification tasks.

• are able to visualize data with Matplotlib.

Target group:

Scientists and teaching staff

Organisational details:

• When you register as a mandatory participant, please note that attending the training is part of your official duties and an unexcused absence is a violation of your official responsibilities. Any further education undertaken during your working hours is subject to the prior approval of your manager.

• Access information to the course will be announced via e-mail.
• CAU-Certificates: Digital competencies for science certificate: Digital research, methods and tools
• Fee: 250,00 €. Free for employees of CAU and PhD students who are registered within the Graduiertenzentrum.
• Deadline for registration: 11 days before the date of the course

• Further Organisational information (in German)