Applied Machine Intelligence

What it is about

You will learn the entire process of data analysis and machine learning tasks: from data preparation over model selection, validation and interpretation to deep learning. In the end you will be able to apply, adapt and evaluate the suitability of methods for real-world applications for information extraction from unstructured audio, image and text data.

What you will be able to do

• Know methods and algorithms for information extraction from audio, image and text data
• Understanding real constraints and requirements for design and deployment of extraction systems
• Apply and adapt existing information-extraction algorithms
• Evaluate algorithms and methods regarding suitability for concrete applications

What the module consists of

• VorlesungTransmission of concepts, algorithms and research topics
• Inverted classroom / Diskussionenactive participation and discussion of current research questions
• Praktische Übungen (Jupyter Notebooks)Demonstration and discussion of examples
• Assignments / Lab ReportsApplication and reflection of principles (individual)
• Projektarbeit mit MilestonesImplementation of applications under real requirements (group work)

Teaching method

• Inverted classroompromotes active participation of students
• Frontalvorlesung und LiteraturdiskussionIntroduction to concepts and current research questions
• Praktische Beispiele in Jupyter NotebooksIllustration and application of the methods
• Assignments, Lab Reports und Projekt mit TutorialsApplying what has been learned to real tasks and supervision during the project