Technical areas:
1. Ran a BERT-classifier and used cosine similarity
2. Read many articles/tutorials about cosine similarity and recommender systems
3. Installed the PyTorch and TensorFlow libraries
Tools/Libraries:
1. Python
2. Trello
3. Github
4. Pytorch/Tensorflow
Soft skills:
1. Attended scrum meetings to ask for any doubts or questions
Three achievement highlights
1. Learned about cosine similarity
2. Attended the session 1 presentation to get some clues of how to make a final presentation
3. Figured out how to use recommender systems using the machine learning libraries in python
Goal for the week:
1. Explore more python libraries and learn more about recommender systems
2. Learn more about machine learning and cosine similarity