Special Lecture (Spezialvorlesung)

Machine Learning
Prof. Dr. M. Riedmiller and Co-Organisator: Thomas Gabel

• Lectures:
  • Tuesday, 16:00 - 18:00, Building 101, Room 009/13
  • Wednesday, 09:00 - 10:00, Building 101, Room 009/13
• Tutorials:
  • Wednesday, 10:00 - 11:00, Building 101, Room 009/13
• Exam:
  • Date of oral exams: September, 17th, 2009, room 00009, building 079
  • Registration: Frau Schneider, Pruefungsamt
• Credit points (Kreditpunkte):
  • 6 ECTS
• Language:
  • Deutsch/German, English on request

Syllabus: This lecture gives an introduction to the field of machine learning. It focuses on basic machine learning concepts, methods, and algorithms. Among other topics the lecture covers version spaces, decision tree learning, inductive logic programming, artificial neural networks, instance-based learning and case-based reasoning.

• Lecture, April 28th (Introduction)
• Lecture, April 29th (Version Spaces)
• Lecture, May 5th (Decision Trees)
• Lecture, May 6th (Perceptrons)
• Exercise 1, May 12th
• Lecture, May 13th (CBR I)
• Lecture, May 19th (Perceptrons, contd.)
• Lecture, May 20th (MLPs)
• Lecture, May 26th (MLPs contd.)
• Lecture, May 27th (Generalisation in MLPs)
• Exercise 2, June 10th
• Lecture, June 16th (Boosting, Probability Theory)
• Lecture, June 17th (Evaluating Hypotheses)
• Lecture, June 23th (CBR II)
• Exercise 3, June 24th
• Lecture, June 30th (ILP)
• Lecture, July 1st (ILP, contd.)
• Lecture, July 7th (Bayesian Learning)
• Exercise 4, July 8th
• Lecture, July 14th (Bayesian Learning, contd.)
• Lecture, July 15th (Reinforcement Learning)
• Lecture, July 21th (Selected ML Group Research Topics)
• Exercise 5, July 15th

There will be oral exams on September, 17th, 2009 (room 00009, in building 079). Registration is done via the examination office (Frau Schneider).