Quiz #1 has been posted to Canvas and is due at 11:59:59pm on Tuesday, Sept 22nd. It is open-book, open-notes, open-four-function-calculator, closed-other-websites, closed-Python, closed-AI, timed at 60 minutes, and must be completed entirely on your own, with no help from others (even others not currently at UMW).
Good luck!
I’ve updated the class github repo with the perceptron, the hand-coded linear classification example (height_eyelashes_sex.py), and today’s first cut at the linear regression example. Assuming you’ve git cloned the repo, you can git pull to get these updates in your cloned copy.
Just a note that I’ll be having office hours on Thursday at slightly different times than I announced before. The new times for Thursdays are: 1-2pm and 3:30-4:30pm.
When you begin work on the NumPy practice homework, don’t forget to activate your virtual environment before running “python yourid_numpypractice.py“. Review the details from homework 0 if you need to remember how to do that.
Another practice assignment has been posted, and can award you up to +20XP. It’s due on September 17th. Send questions!
I’ve posted the solutions to yesterday’s perfectly optional quiz. The class’s performance on this quiz overall wasn’t as high as I’d like to see, so I plan to include some Lin Alg questions on the upcoming “real” Canvas quiz as well, as a motivator. Be sure to re-read those chapters, or re-watch those videos, and to ask questions about anything you’re fuzzy on! And be sure you understand the answers to this quiz, of course.
I’ve created a class GitHub repo to disseminate code samples this semester. You should follow these instructions at your nearest convenience to clone a copy of it to your own machine.
I’ve posted the solutions to yesterday’s perfectly optional quiz.
On Tuesday, there will be a brief chance to “show what you know” about linear algebra! All the questions will be answerable if you’ve done the assigned readings (or videos) up through the one for Sept 8th.
