Elements of Machine Learning

Krikamol Muandet and Jilles Vreeken

Timetable

Title Type Location Serial Start End All Day
Lecture 1 - Bias and Variance Lecture 26.10.23 26.10.23 No 
Lecture 2 - Linear Regression 1 Lecture 02.11.23 02.11.23 No 
Lecture 3 - Linear Regression II Lecture 09.11.23 09.11.23 No 
Deadline Assignment Sheet 1 Deadline 16.11.23 16.11.23 No 
Lecture 4 - Classification I Lecture 16.11.23 16.11.23 No 
Lecture 5 - Classification II Lecture 23.11.23 23.11.23 No 
Deadline Assignment Sheet 2 Deadline 30.11.23 30.11.23 No 
Lecture 6 - Generalization Lecture 30.11.23 30.11.23 No 
Lecture 7 - Model Selection Lecture 07.12.23 07.12.23 No 
Deadline Assignment Sheet 3 Deadline 14.12.23 14.12.23 No 
Lecture 8 - Beyond Linear Lecture 14.12.23 14.12.23 No 
Deadline Assignment Sheet 4 Deadline 04.01.24 04.01.24 No 
Lecture 9 - Dimensionality Reduction Lecture 04.01.24 04.01.24 No 
Lecture 10 - Clustering Lecture 11.01.24 11.01.24 No 
Deadline Assignment Sheet 5 Deadline 18.01.24 18.01.24 No 
Lecture 11 - Trees and Forests Lecture 18.01.24 18.01.24 No 
Lecture 12 - Support Vector Machines Lecture 25.01.24 25.01.24 No 
Deadline Assignment Sheet 6 Deadline 01.02.24 01.02.24 No 
Lecture 13 - Neural Networks Lecture 01.02.24 01.02.24 No 
Lecture 14 - ML and the Real World Lecture 08.02.24 08.02.24 No 
Deadline Registration Exam Deadline 16.02.24 16.02.24 No 
Exam Exam 23.02.24 23.02.24 No 
Deadline Registration Re-Exam Deadline 14.03.24 14.03.24 No 
Re-Exam Exam 21.03.24 21.03.24 No 
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