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 Double/debiased machine learning
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_2024/
Slides and readings are all downloadable from this link.
SCHEDULE
SCHEDULE
COURSE MATERIAL
COURSE MATERIAL
Monday 9th September
Monday 9th September
14:00 - 16:00 - Lecture 1
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Applied Session 1
18:00 - 19:00 - Welcome Drinks at St Hilda's College
https://maxkasy.github.io/home/ML_Oxford_summerschool_2024/
Power points and readings are all downloadable from this link.
Tuesday 10th September
Tuesday 10th September
14:00 - 16:00 - Lecture 2
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Applied Session 2
Free afternoon and evening
https://maxkasy.github.io/home/ML_Oxford_summerschool_2024/
Power points and readings are all downloadable from this link.
Wednesday 11th September
Wednesday 11th September
14:00 - 16:00 - Lecture 3
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Applied Session 3
https://maxkasy.github.io/home/ML_Oxford_summerschool_2024/
Power points and readings are all downloadable from this link.
Thursday 12th September
Thursday 12th September
14:00 - 16:00 - Lecture 4
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Applied Session 4
18:30 - Drinks Reception at University College
19:00 - Formal Dinner at University College
https://maxkasy.github.io/home/ML_Oxford_summerschool_2024/
Power points and readings are all downloadable from this link.
Friday 13th September
Friday 13th September
14:00 - 16:00 - Lecture 5
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Applied Session 5
Free afternoon and evening
https://maxkasy.github.io/home/ML_Oxford_summerschool_2024/
Power points and readings are all downloadable from this link.
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