Resources

Machine Learning & Deep Learning (Chang)

Distributed Machine Learning (Alex/Tommy)

Federated Machine Learning (Alex/Tommy)

Graph Data Partition (YJ Park, DK Lee)

Sensors and Edge Devices (Tommy/Jisoo/Chang)

Multimodal Machine Learning (Alex)

Interpretable Machine Learning (Jisoo)

Causal Inference (Woo)

FEAT (Fairness, Ethics, Accountability, and Transparency) & AI for Good (Chang)

Data Science Tools and Languages (Alex/Tommy)

Publicly Available Training Datasets (Jisoo/Woo) – WIP

Tutorials & Online Courses (Woo)

Seminar Series (Woo)

Note: We gracefully appreciate the efforts by the students to develop and maintain these useful resource lists that all students studying data sciences can benefit from. Should you like to contribute as well, please contact us from the email below or comment on the post below.