This project is a compilation of exercises done during GDG Cloud Edmonton ML Bootcamp in summer 2021. The bootcamp explored data pipelines, word2vec, NER, Transformers, and Bert ML models. Tutorials were created by the mentors. The excercises were created by our mentors and completed by us individually.
GDG Bootcamp link https://gdg.community.dev/events/details/google-gdg-cloud-edmonton-presents-machine-learning-bootcamp-2021-2021-06-27/
Materials:
Week 1: Word2Vec
Week 2: Transformers
Week 3: Bert_NER, PyTorch DataLoaders
Week 4: Bert_tokenizer
Week 5: Bert_QA
Bert Question Answering task model created by one of the mentors Hasan Badran https://github.com/badran047/ask_me
If you are interested in more ML resources here is a list of articles and videos that were recommended to us during the bootcamp:
Tutorials: PyTorch beginner tutorial https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html
Papers: Attention is all you need https://arxiv.org/pdf/1706.03762.pdf and related video https://www.youtube.com/watch?v=rBCqOTEfxvg
Bert model tutorial https://mccormickml.com/2019/07/22/BERT-fine-tuning/
Articles: Winning the Netflix Prize: A Summary https://blog.echen.me/2011/10/24/winning-the-netflix-prize-a-summary/