Seminar über Elemente des Machine Learning

What it is about

You will learn the basics of machine learning and implement selected methods in practice. After the seminar you can formulate typical data analysis problems as ML tasks and implement simple algorithms (e.g. regression, classification, clustering, EM).

What you will be able to do

• Formulate machine-learning problems in engineering and applied sciences
• Implement fundamental ML algorithms
• Present theoretical concepts in an understandable way
• Practical application of the methods through programming

What the module consists of

• VorlesungenIntroduction to the core concepts and an overview of selected topics
• Tutorien/ÜbungenPractical implementation and application of the algorithms
• Präsentationen/ProjektarbeitDeepening of a topic and demonstration through implementation examples

Teaching method

• Vorlesung an Tafel unterstützt durch FolienExplanation of theoretical concepts and visualization of complex content
• Tutorien mit ImplementierungsübungenPractice of the practical implementation of the algorithms
• StudierendenpräsentationenDeepening of the content through independent preparation and demonstration