Advanced Computerlab Data Science

Course content

In the Advanced Computerlab Data Science, current machine learning models are implemented, trained, applied and interpreted in order to work on practical questions on the basis of extensive structured or unstructured data sets. Fundamentals and techniques imparted on a theoretical level (e.g. models and their evaluation, optimization algorithms, interpretation techniques) are applied and expanded in practice by means of functions provided in various frameworks (e.g. TensorFlow, Keras, Matplotlib). The independent implementation of machine learning models in Python forms a further focus in addition to the use of specialized frameworks.