How is the INSAID Data Science course

Inside Data Lake Constance

The event series “Inside Data Bodensee” is aimed at everyone who tackles challenges in the field of scientific IT and data science in a joint exchange and wants to gain new perspectives. It is not just about IT, but also about important interfaces to other subject areas such as B. biotechnology or pharmaceuticals. The aim of the series of events is to shed light on the scientific-mathematical principles behind the individual problems as deeply as possible in order to find solutions.

Experts and users from business and science who are interested in practical solutions to current challenges in the field of scientific IT and data science and who want to contribute their skills and expand their own specialist knowledge in an active exchange with other experts are invited.

Concept of Inside Data Bodensee

The individual workshops are typically divided into two parts and begin with a theoretical introduction to a specific topic by a specialist. This is followed by a practical part of the workshop with hands-on hacking. The speaker will work out an initial solution live on the podium, which the audience can follow and question directly. During the workshop, the participants can work on the same problem in parallel with their own laptops.

The event aims to bring together experts from the Lake Constance region who work with or in scientific IT or in the field of data science in order to build up a lively learning and business network on Lake Constance.

Inside Data Bodensee // Vol. I: "Linear regression with TensorFlow"

TensorFlow is a framework that is widely used in deep learning. In this hands-on tutorial, Dr. Oliver Dürr explain the basic functions of TensorFlow, in particular the so-called graphs and optimization algorithms such as the gradient method. No previous knowledge of deep learning is required for this. Dr. Oliver Dürr will exemplarily demonstrate the process of linear regression, the "mother" of all neural networks.

Dr. Oliver Dürr has been a professor at the HWTG Konstanz since September 1, 2018, his focus there is data science. He has been involved in statistical data analysis and machine learning for more than 15 years, and since 2013 his focus has been on deep learning. In addition to industrial projects, he also has teaching experience in this area. Together with colleagues from the ZHAW Winterthur, he set up a deep learning course and has been co-organizer of the Deep Learning Day, which will take place in Winterthur on September 14th this year, for three years.

Technical information:

The hands-on tutorial takes place using the Jupyter Notebook web application. Participants should bring their own laptop, WiFi is available. If you have a Google account, you can use Google's free collaborative service. If you don't have an account, you can install locally according to this description.
Please check in advance that one of the two options works.

For the hands-on part, it would be an advantage to have basic knowledge of the Python programming language and, ideally, the NumPy program library.