Python Fundamentals for Machine Learning

The central goals of the course:

Knowledge of programming basics in Python.
Introduction to the ML landscape in terms of supervised learning, unsupervised learning and reinforcement learning.
Fundamental tools and techniques in Python for ML, including neural networks and deep learning.
Frameworks and APIs for ML based on Python.

Course leader

TBA

Target group

Master's level

Fee info

EUR 687: Exchange students: No Fee

Freemovers, EU/EEA: 687 EUR

Freemovers, NON-EU/EEA: 1245 EUR

Books, course materials, social programme, and housing are not included in the fee.

Scholarships

No scholarships available.