Welcome to the Queen Mary Machine Learning Society

QMML provides a space within QMUL for students and staff to come together and delve into Machine Learning.

Throughout this semester we are holding sessions on the fundamentals of neural networks, hosting events with companies and lectures from our members. 

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Session every week for Machine Learning!

Every week we will host a session on topics in Machine Learning (Checkout our github repo for some examples!)

These sessions will be held in Bancroft and you do not need a membership to attend the first lessons! However, when rooms start to get crowded, we have to unfortunately ask any visitors to leave. So in buying your membership, you can garantee a place for lessons!

GitHub Repository:

Year 2023/24: https://github.com/YM2132/QMML

Year 2024/25: https://github.com/manu-2213/QMUL_MLSociety (CURRENT)

Please use the GitHub to get access to our weekly session materials :)

Please join our WhatsApp group to stay updated:

https://chat.whatsapp.com/IUd7RmiD5OD6cDbJ76iQHO

Study materials:

• https://www.deepmind.com/learning-resources

• Deep Learning - Goodfellow, Bengio, Courville (The seminal text on deep learning)

• https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC (Karpathy lecture series on computer vision)

• https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi (3blue1brown short series on deep learning)

• http://neuralnetworksanddeeplearning.com/index.html

• https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab (3blue1brown series on linear algebra)

• https://youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY (Introduction to algorithms)