ML-Study

Getting started:

• Where do I put my code? Jupyter

• Manipulating data with Pandas documentation, video

• Data Visualization Kaggle tutorial, Matplotlib video

• Decision Trees reading, video

• Putting it all together Kaggle course

• First project Titanic dataset

• CMU ML series taught by Roni Rosenfeld Playlist

• ML with scikit-learn intro course

• https://mlvu.github.io/ - watching for Masakhane's reading group

Neural Networks:

• Giant Neural Network series YouTube

NLP:

• https://lena-voita.github.io/nlp_course.html
• this amazinggggggg course https://www.youtube.com/playlist?list=PLLssT5z_DsK8HbD2sPcUIDfQ7zmBarMYv

Differential Privacy:

• https://www.youtube.com/playlist?list=PLmd_zeMNzSvRRNpoEWkVo6QY_6rR3SHjp

Resources recommended by Espoir

• https://www.reddit.com/r/learnmachinelearning/
• https://www.reddit.com/r/learnpython/
• https://pycoders.com/

For Mitacs internship

• https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed

AI conference deadlines: https://aideadlin.es/?sub=ML,CV,NLP,RO,SP,DM

Open to everyone mentorship sessions: https://mementor.net/#/