Applied Machine Intelligence

Applied Machine Intelligence
Lecturer: Klaus Diepold, Christian Keimel
Assistants: Manuel Lengl, Philipp Paukner, Stefan Röhrl
Target Group: Master EI
ECTS: 9
Contact: ami.ldv@xcit.tum.de
Turnus: Summer Term
Registration: TUMOnline
Time & Place:

Tuesdays and thursdays 09:45 - 11:15 | Room Z995

Begin: first lecture: 18.04.2023 (Kick-Off only online!)

Target Group and Registration

Prerequisites:

The fixed places will be assigned after the kick-off session.

Required are...

...the successful completion of at least one of the following lectures:

  • EI70360 Machine Learning and Optimization
  • EI70380 Signal Processing and Machine Learning
  • EI70130 Machine Learning in Robotics
  • EI70150 Pattern Recognition

...basic knowledge of general topics discussed at undergraduate level (BSc.) in one of the following areas:

  • Linear Algebra
  • Computer engineering
  • Communications engineering
  • Multimedia technology and human machine interaction

...knowledge of Python

Content

  • Lifecycle of a Data Analysis or Machine Learning task
  • Data Preprocessing
  • Regression (Algorithms and Metrics)
  • Classification (Algorithms and Metrics)
  • Deep Learning
  • Model Selection
  • Validation Techniques
  • Model Interpretation