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| 1 | +--- |
| 2 | +sidebar_position: 0 |
| 3 | +--- |
| 4 | + |
| 5 | +import DocCardList from '@theme/DocCardList' |
| 6 | + |
| 7 | +# 💻 Machine Learning Tutorial Series |
| 8 | + |
| 9 | +Welcome to season 4 (2024-25) of the beginner machine learning tutorial series of the UCL Artificial Intelligence Society! |
| 10 | + |
| 11 | +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](https://discord.gg/KSUZuQx?ltclid=3f704b3b-9044-415a-a2d7-e41007214187). You can also join our WhatsApp group chat through this [link](https://chat.whatsapp.com/JWEJn7OWvWE8MBfm2uSBhh). |
| 12 | + |
| 13 | +## Our Team |
| 14 | + |
| 15 | +This academic year, the tutorial series is being delivered by the following people: |
| 16 | + |
| 17 | +- [Sergi Kavtaradze](#) (Head of Tutorials) |
| 18 | +- [Zachary Baker](#) (ML Officer) |
| 19 | +- [Paul Chaminieu](#) (ML Officer) |
| 20 | +- [Anna-Maria](#) (ML Officer) |
| 21 | + |
| 22 | +## DOXA Challenges |
| 23 | + |
| 24 | +Our teaching will be supplemented by engaging AI competitions on [DOXA](https://doxaai.com/) related to topics such as visual computing, natural language processing and reinforcement learning. |
| 25 | + |
| 26 | +To take part and follow along with the tutorial series content, [sign up](https://doxaai.com/sign-up) to the platform if you have not done so already. |
| 27 | + |
| 28 | +## Weekly Tutorials |
| 29 | + |
| 30 | +📚 Access our notebooks, slides and recordings here! |
| 31 | + |
| 32 | +<DocCardList /> |
| 33 | + |
| 34 | +## Timeline |
| 35 | + |
| 36 | +### Term 1 |
| 37 | + |
| 38 | +During the first half term, we aim to cover basic concepts of **classical ML**: |
| 39 | + |
| 40 | +- Tutorial 0: **Introduction to AI** |
| 41 | +- Tutorial 1: **Introduction to Python** |
| 42 | +- Tutorial 2: **Regression** |
| 43 | +- Tutorial 3: **Classification I** |
| 44 | +- Tutorial 4: **Classification II** |
| 45 | + |
| 46 | +After reading week, we will focus on **Deep Learning**! |
| 47 | + |
| 48 | +- Tutorial 5: **Neural Networks** |
| 49 | +- Tutorial 6: **Visual Computing I** (Doxa) |
| 50 | +- Tutorial 7: **Generative visual computing** |
| 51 | +- Tutorial 8: **Recurrent Neural Networks** (Doxa) |
| 52 | +- Tutorial 9: **Introduction to Transforments** |
| 53 | + |
| 54 | +### Term 2 |
| 55 | + |
| 56 | +- Tutorial 10: **Natural Language Processing I** |
| 57 | +- Tutorial 11: **Natural Language Processing II** |
| 58 | +- Tutorial 12: **Graph neural networks / Reinforcement learning** |
| 59 | + |
| 60 | +## Previous Seasons |
| 61 | + |
| 62 | +The content and resources from previous years are available on GitHub: |
| 63 | + |
| 64 | +- [Season 1 (2020/21)](https://github.com/UCLAIS/Machine-Learning-Tutorials) – led by [Danny Toeun Kim](https://github.com/kimdanny) |
| 65 | +- [Season 2 (2021/22)](https://github.com/UCLAIS/ML-Tutorials-Season-2) – led by [Martynas Pocius](https://github.com/MartynasPocius) |
| 66 | +- [Season 3 (2022/23)](https://github.com/UCLAIS/ml-tutorials-season-3) – led by [Filip Trhlík](https://trhlikfilip.com/) |
| 67 | +- [Season 4 (2023/24)](https://github.com/UCLAIS/ml-tutorials-season-4) – led by [Angela Yu](https://github.com/angela24680403) |
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