homework 4

clustering and parameter estimation

clustering and parameter estimation

Review the homework in this pdf file. Remember that reading resources can be found in the syllabus.

data and starter kit

You will need the data. If you are using Colabs (not a requirement), you would need a Google account.


Here are the starter kits and materials that you might find useful.

  • Here are some mathematical properties that will help you in derivations.

  • Document templates can be either Overleaf TeX File or DOCX File. When you’ve compiled/finished writing, download the PDF from Overleaf/Google and upload it to the submission link.

  • As derived in class, there are some mathematical properties that are useful in deriving the gradients. Please take advantage of them here.

  • To help you get started, you may find that this Colaboratory Link is useful. In order to submit, you’ll need to Download the file as a *.ipynb file (Under ** File** → Download → Download .ipynb.)


submission instructions

Submit your homework on Gradescope, Assignment 4. You will need to upload a PDF and your Python code (either as a notebook or as a Python file.)