The homework instructions can be downloaded here. The IPython starter code for problem 1 can be downloaded here, and for problem 2 can be downloaded here. The LaTeX solution template can be downloaded here.

To submit the assignment please upload the following files to gradescope.

  • report.pdf: Report containing written solutions using the above latex solution template.

  • food_preferences.csv : CSV containing your annotated food and their preferences.

  • 11-766-hw1-problem1.ipynb : Ipython notebook with code and solution for problem1

  • 11-766-hw1-problem2.ipynb : Ipython notebook with code and solution for problem2

Please do note that the names are case sensitive and only the files with the above names would be accepted. Please check for feedback on gradescope and let us know if you face issues.

Note: the due date has been moved from Feb 5 to Feb 12.

Revision Log

  • v1-jan17: Initial release to students
  • jan24: IPython notebook for question 1 has been updated to provide some extra code for analying translations via neural embeddings.
  • jan26: Added LaTeX solution template.
  • jan27: Fixed a small error in the IPython notebook for question 1. The line reading "fr_content": f"Input{examples["translation"]["fr"]}" should read "fr_content": f"{examples["translation"]["fr"]}".
  • jan30: Due date moved from Feb 5 to Feb 12.
  • feb4: Added Submission instructions.