How do I classify categorical data? How do I make predictions based on numerical data? In this workshop, you will learn the application of Supervised Learning (SL) with a focus on Support Vector Machines (SVMS). They will be given a practical introduction to the basics as well as to the application of Python and AI notebooks to solve real decision-making issues. The workshop will be open to anyone who wants to gain practical experience in machine learning.
Contents
- What is classification?
- What is regression?
- What are typical algorithms? How to work in a simple and illustrative way.
- Use SL algorithms to perform analyses and Predictions.
Objective
- You will get a comprehensive overview of modern python programming and the use of AI notebooks to advance the topic in your company.
- They learn about the foundations of simple AI algorithms.
- Find out how you can easily implement algorithms with the scikit-learn framework.
audience
- All interested parties from small and medium-sized enterprises (SMEs)
Contacts
- Johannes Ihl
- j.ihl@digitalzentrum-saarbruecken.de
This is a cooperation event together with the Small and medium-sized digital centre Saarbrücken.
registration
The application is made via the cooperation website: here
