Elements of Machine Learning

Kavya Gupta, Isabel Valera

Timetable

Title Type Location Serial Start End All Day
Tutorial 1 Tutorial E1.3 HS003 2 09.12.24 09.12.24 No 
Tutorial 1 Tutorial E1.3 HS003 2 02.12.24 02.12.24 No 
Re-Exam Exam 20.03.25 20.03.25 No 
No Tutorials Tutorial 25.11.24 N/A Yes 
Main Exam Exam 19.02.25 19.02.25 No 
Lecture 9 - Dimensionality Reduction Lecture E2.2 GHH 1 12.12.24 12.12.24 No 
Lecture 8 - Beyond Linearity Lecture E2.2 GHH 1 05.12.24 05.12.24 No 
Lecture 7 - Generalization & Model Selection II Lecture E2.2 GHH 1 28.11.24 28.11.24 No 
Lecture 6 - Generalization & Model Selection I Lecture E2.2 GHH 1 21.11.24 21.11.24 No 
Lecture 5 - Classification II Lecture E2.2 GHH 1 14.11.24 14.11.24 No 
Lecture 4 - Classification I Lecture E2.2 GHH 1 07.11.24 07.11.24 No 
Lecture 3 - Regression II Lecture E2.2 GHH 1 31.10.24 31.10.24 No 
Lecture 2 - Regression I Lecture E2.2 GHH 1 24.10.24 24.10.24 No 
Lecture 1 - Introduction Lecture E2.2 GHH 1 17.10.24 17.10.24 No 
Lecture 15 - Q&A for exam preparation Lecture E2.2 GHH 1 06.02.25 06.02.25 No 
Lecture 14 - ML & Real World Lecture E2.2 GHH 1 30.01.25 30.01.25 No 
Lecture 13 - NNs Lecture E2.2 GHH 1 23.01.25 23.01.25 No 
Lecture 12 - SVMs Lecture E2.2 GHH 1 16.01.25 16.01.25 No 
Lecture 11 - Tree-based Models Lecture E2.2 GHH 1 09.01.25 09.01.25 No 
Lecture 10 - Clustering Lecture E2.2 GHH 1 19.12.24 19.12.24 No 
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