Machine Learning and Programming in Python (Master, PhD)
This course covers topics around Machine Learning and Python programming (e.g. Model complexity, Regularisation, Supervised Learning, Decision trees, Unsupervised Learning, Deep Learning, Neural Networks, Natural Language Processing).
Lecturers:
Information material (PDF Download):
Registration modalities:
In order to get a place in the lecture and to be able to register for the exam in FlexNow and earn credit points, you will have to apply according to the guidelines that are outlined in detail in the provided documents in Moodle. Please note that you will not be able to take part in the exam, and that you will not be able to earn credit points for this course, if you have not been approved by me to be a participant of this course. The application for the lecture “Machine Learning and Programming in Python” must be completed by the 3rd of April 2024, 23:59 pm. To apply, you must send an email to astrid.krenz@ruhr-uni-bochum.de with the required information.
Further information on the course structure and literature can be found in Moodle
Type
Lecture
Event number
075155
Rhythm
SS
Location
varies
Further dates