Logistics/Notes#

Monday 10/3

  • Lecture: Neural networks

  • HW5 posted, should be straightforward (similar to HW4, but new methods)

  • Project poster and notebook due next week

  • In-class practice today, gradescope open!

  • If you are installing custom conda packages (e.g. graph networks for TSP), let me know and I can up your disk quota to make some extra room

Monday 3/26

  • Lecture: Train/validation splits, and non-parametric models

  • HW4 posted; should be able to get started after today’s lecture

  • Project feedback posted on gradescope, follow up if you have questions!

Monday 9/19

  • Lecture: Overfitting, model capacity, simple feature selection

  • Feedback from ML guest lectures was excellent. Quick discussion about class schedule.

  • Feedback from mid-term evals

    • Only ~10/50 responses

    • Quite bimodal (either people thought things are going really well, or it was too fast)

    • Common feedback:

      • Lectures move fast (please tell me when it’s moving too fast or you want me to slow down!)

      • Homeworks can take a long time

      • Lots of code/functions/definitions/etc to understand

  • HW3 posted (should be fairly straightforward based on lecture from Wednesday, please ask question on piazza and come to office hours!)

  • Project proposal due noon 9/23 on gradescope

  • Office hours as normal this week here: https://ulissigroup.cheme.cmu.edu/F22-06-325/syllabus.html#personnel

  • jupyterhub: I haven’t seen any questions/etc in the past two weeks, so I think everything has stabilized and is working well!

Wednesday 9/7

  • Lecture: Project overview, and intro to supervised regression

  • Course Project Overview

    • Email link sent to CATME to help with group/project assignment, please fill out by Friday!

    • Groups will be assigned over the weekend

    • You will have ~9/23 to investigate the project info, dataset, and write a short proposal on what you want to try. Feel free to ask for suggestions or clarifications in office hours!

  • Please upload the practice to gradescope at the end of class!

  • HW2 is posted, due Monday

  • Office hours, updated on Syllabus

    • Ulissi office hours Thurs 530-630 on zoom

    • Optional python lab Friday 330-430 DH 1102

  • jupyterhub: Updated save tips at Software Environments

  • jupyterhub: Save-to-pdf with chemical equations fixed (hopefully that works cleanly now!) https://github.com/ulissigroup/F22-06-325/blob/main/Dockerfile#L66

  • jupyterhub: There appears to be a problem with JupyterLab RTC that might be causing the problems with saving files (https://github.com/jupyterlab/jupyterlab/issues/12154). It’s disabled now, so please let me know if there’s still any problems