Seminar: Seminar on Machine Learning - Details
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Lehrveranstaltung wird in Präsenz abgehalten.

General information

Course name Seminar: Seminar on Machine Learning
Semester SS 2023
Current number of participants 5
maximum number of participants 8
Home institute Computational Biology
Courses type Seminar in category Teaching
First date Tuesday, 18.04.2023 14:00 - 15:30, Room: (1005 T)
Pre-requisites Basic knowledge of python programming language and jupyter notebooks is expected.
Online/Digitale Veranstaltung Veranstaltung wird in Präsenz abgehalten.
Hauptunterrichtssprache englisch
Literaturhinweise • A. Geron, Hands-On Machine Lerning with Scikit-Learn, Keras & TensorFlow (2019 by O’Reilly Media Inc.)

Rooms and times

(1005 T)
Tuesday: 14:00 - 15:30, weekly (13x)


Machine learning is the science of programming computers so that they can learn from data. Machine learning has become an indispensable tool in research and development. Applications range from spam filters for Emails to voice and image recognition. In this hands-on seminar you will learn the basic principles and how to apply machine learning algorithms for instance using Scikit-learn, Keras and TensorFlow.

The topics for the presentations are from the following subject areas
• Classification tasks in machine learning
• Training of machine learning algorithms
• Decision tree learning
• Ensemble learning and random forests
• Dimensional reduction
• Unsupervised learning techniques
• Multilayer perceptrons and backpropagation
• Deep neural networks

Admission settings

The course is part of admission "Beschränkte Teilnehmendenanzahl: Seminar on Machine Learning".
The following rules apply for the admission:
  • A defined number of seats will be assigned to these courses.
    The seats in the affected courses have been assigned at 17.04.2023 on 18:00. Additional seats may be available via a wait list.
  • The enrolment is possible from 22.02.2023, 18:00 to 17.04.2023, 12:00.