Machine Learning
Skills Lab
Embedded Files
Thank you for attending!
TOPICS COVERED
Supervised learning using Python
Probably approximately correct learning theory
Shrinkage in the normal means model
Deep neural nets; and Conformal inference
Online learning and multi-armed bandits
Ethics and machine learning
Course information can be found following the below link:
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
For the tutorials, please bring your own laptop to all the sessions.
SCHEDULE
SCHEDULE
COURSE MATERIAL
COURSE MATERIAL
Monday 8th September
Monday 8th September
14:00 - 16:00 - Lecture 1
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Tutorial 1
18:00 - 19:00 - Welcome Drinks at Lady Margaret Hall
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
Tuesday 9th September
Tuesday 9th September
14:00 - 16:00 - Lecture 2
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Tutorial 2
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
Wednesday 10th September
Wednesday 10th September
14:00 - 16:00 - Lecture 3
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Tutorial 3
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
Thursday 11th September
Thursday 11th September
14:00 - 16:00 - Lecture 4
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Tutorial 4
19:00 - Drinks Reception at Lincoln College
19:30 - Formal Dinner at Lincoln College
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
Friday 12th September
Friday 12th September
14:00 - 16:00 - Lecture 5
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Tutorial 5
https://maxkasy.github.io/home/ML_Oxford_summerschool_2025/
Slides and readings are all downloadable from this link.
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