💻 Machine Learning Tutorial Series
Welcome to season 4 (2024-25) of the beginner machine learning tutorial series of the UCL Artificial Intelligence Society!
If you have any questions about our content or machine learning more generally, feel free to ask us at the next session or make a forum post on the UCLAIS Discord server. You can also join our WhatsApp group chat through this link.
Our Team
This academic year, the tutorial series is being delivered by the following people:
- Sergi Kavtaradze (Head of Tutorials)
- Zachary Baker (ML Officer)
- Paul Chaminieu (ML Officer)
- Anna-Maria (ML Officer)
- Franciszek Nowak (ML Officer - Visual Computing I)
DOXA Challenges
Our teaching will be supplemented by engaging AI competitions on DOXA related to topics such as visual computing, natural language processing and reinforcement learning.
To take part and follow along with the tutorial series content, sign up to the platform if you have not done so already.
Weekly Tutorials
📚 Access our notebooks, slides and recordings here!
📄️ 💻 Machine Learning Tutorial Series
Welcome to season 4 (2024-25) of the beginner machine learning tutorial series of the UCL Artificial Intelligence Society!
🗃️ 2024-2025
7 items
🗃️ 2023-2024
13 items
Timeline
Term 1
During the first half term, we aim to cover basic concepts of classical ML:
- Tutorial 0: Introduction to AI
- Tutorial 1: Introduction to Python
- Tutorial 2: Regression
- Tutorial 3: Classification I (Doxa)
- Tutorial 4: Classification II
After reading week, we will focus on Deep Learning!
- Tutorial 5: Neural Networks
- Tutorial 6: Visual Computing I (Doxa)
- Tutorial 7: Generative visual computing
- Tutorial 8: Recurrent Neural Networks (Doxa)
- Tutorial 9: Introduction to Transforments
Term 2
- Tutorial 10: Natural Language Processing I
- Tutorial 11: Natural Language Processing II
- Tutorial 12: Graph Neural Networks / Reinforcement Learning
Previous Seasons
The content and resources from previous years are available on GitHub:
- Season 1 (2020/21) – led by Danny Toeun Kim
- Season 2 (2021/22) – led by Martynas Pocius
- Season 3 (2022/23) – led by Filip Trhlík
- Season 4 (2023/24) – led by Angela Yu