Course Contents
Supervised machine learning, Unsupervised machine learning, Computer Vision, Regression and classification, Best practice, Common challenges in Data Science, Python for Beginners, TensorFlow for Beginners, Data Augmentation
Literature
A. Géron, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Preconditions
Mathematics I-III
Online Offerings
Moodle
- Lehrende: Marvin Kehl
- Lehrende: Michael Kraus
- Lehrende: Henrik Riedel
- Lehrende: Miriam Schuster
Semester: WT 2024/25