Program Overview

Machine Learning Lab

The Machine Learning Lab offers a comprehensive program in machine learning, with a focus on both theoretical foundations and practical applications.

Course Details

• Course type: Lecture
• Time: Tuesdays, 16:00-17:30 and Thursdays, 08:15-09:45
• Location: Building 051 - 00-031
• Organizers: Martin Riedmiller, Frank Hutter, Manuel Blum

Program Structure

The program is structured to provide students with a deep understanding of machine learning concepts, including:

• Hyperparameter optimization
• Reinforcement learning

Resources

• Slides: Hyperparameter optimization slides are available, including ML.pdf, ML2.pdf, and ML3.pdf

Research Areas

The lab focuses on various research areas, including:

• Machine learning
• Reinforcement learning

Team

The team consists of:

• Professor
• Interim Professor
• Secretaries
• Postdocs
• PhD Students
• Engineers
• Technicians
• Students
• Alumni

Subgroups

The lab has subgroups dedicated to specific areas, including:

• Reinforcement Learning