Timetable

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

Elements of Machine Learning