Institute for Numerical Simulation
Rheinische Friedrich-Wilhelms-Universität Bonn
maximize

Summer Semester 2018

P4E1 Practical Lab Numerical Simulation
Algorithms in Machine Learning and Their Application

Under direction of
Prof. Dr. Jochen Garcke
Prof. Dr. Michael Griebel
Preliminary Date
Wednesday, 14:15 - 16:00
Registration
mllab.ins.uni-bonn.de

Registration

In order to participate you need to send an e-mail to the registration address above before the end of March. If the number of participants is higher than our capacity we will pick randomly. You will receive an answer by e-mail on April 2 if you can participate. A similar practical lab will be offered in the winter semester.

Background

Nowadays, data mining and machine learning algorithms are the backbone of decision making processes in all major enterprises. Their applicability seems almost endless and ranges from selective advertising over prototype design to autonomous production chains. Due to the availability of very large datasets (“Big Data”) it has become crucial to understand the mechanics of the different types of learning methods and to be able to develop and implement efficient algorithms to meet the requirements of the task at hand.

Content

In this practical lab, we teach the basic mathematical and technical tools needed to understand a range of basic data mining and machine learning methods. A strong emphasis is put on algorithms and efficient implementation.

Roughly every two weeks a new practice sheet is given to the participants. The tasks will be worked on in small groups. Depending on the technical proficiency, the time needed will be about 10 to 20 hours a week. Basic experience in a modern (procedural) programming language (C(++)/Python) is a necessary requirement.