Material for a University of Illinois course offered by the Physics Department. This content is maintained on GitHub and is distributed under a BSD3 license.
ACTIVITY: Discuss these questions:
Further reading:
Physics and astronomy students have different preparation:
Physics and astronomy research also has different needs:
Data are a finite set of measurements:
ACTIVITY: Pick one of these ML problems and describe the rows (samples) and columns (features) of the data you might use to solve the problem.
Models specify the probabilities of possible measurements:
Postprocessing for html export of notebook
Python postamble (do not edit):
!pip install jupyter_contrib_nbextensions >/dev/null
!jupyter nbconvert *.ipynb --to html_embed
Please see the full instructions at
https://illinois-mla.github.io/syllabus/assets/html-embed-export-tutorial.pdf
for what to do after this cell executes to obtain a pdf of your notebook.