Data analytics for engineering data using machine learning

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Level of Instruction
Beginner
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Users
Data Scientists
Language of Instruction

Other Information

Event/Course Description

As part of the EXCELLERAT training program, Fraunhofer SCAI offers a workshop on data analytics for engineering data using machine learning.

The workshop day consists of two parts:

  1. In the morning part an introductory training on machine learning topics like clustering and dimension reduction techniques is provided. Brief hands-on exercises in python will aid the understanding of the material.

  2. The second part will take place in the afternoon and will specifically deal with applying the machine learning methods from the first part to numerical simulation data stemming from engineering tasks. The SCAI DataViewer will assist the participants in analysing the provided simulation data sets.

This first instance of this workshop will be open for all partners and corresponding institutes of EXCELLERAT.