Important Annoucements for 2025 Fall UVa CS -ML-Undergraduate
Tips
- Two easy pages to go through the course materials:
- course contents shown like a blog
- course important announcements shown like a blog
- This course will offer a total of 14 to 15 quiz opportunities; your final grade will be using the top 10 quiz grades you achieve.
- We have quiz mostly on Tuesdays.
- We share a few code examples showcasing course lecture contents in code, please check out Here
- Please slack DM TAs or me for any questions or concerns. (we are super slow in emails and much faster with Slack DMs!)
- For sick day reschedule (with doctor note) and SDAC issues, please email to: instructor email here
- Please remember to submit your reading question assignments due on Tuesdays by noon (Weekly In Canvas!) Please submit one question per lecture reading. For each week, Thursday are for flip reading; I will email you what to read on Tuesday evenings! Please remember to submit questions from your past week reading as submissions to those weekly question assignment entries.
- I have included all past quiz and their answers in (Quiz Review)
- I have included all past reviews on course readings in (Review Part-1) + (Review-Part2))
Oct 16th on Quiz-8 and HW3 (Keras, Pytorch) and Huggingface
Next Tuesday we will have Quiz8 to cover the following contents:
course website also have slide decks on
Oct 8th on Quiz-7 and HW3/HW2
The coming Thursday’s Quiz7 will cover the following three readings:
- Logistic Regression and MLP: Links .
- Neural Networks and Deep Learning: Links .
- Convolutional Neural Network (CNN): Links .
On HW2:
- We have released the HW2 key in Canvas.
- This is a super important homework to understand learning behaviors and hyperparameter tuning
On HW3:
- We would like to clarify that for HW3, both keras and torch implementations are required for submission. If time allows, you can also try to compete on the Fashion MNIST leaderboard and aim for a performance comparable to the top ten competitors. In that case, you may focus on only one library for the implementation.
Sep 30 on Quiz-6 and HW1/HW2
This week please cover the following two sessions / Quiz 5 will cover these topics:
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Bias Variance Tradeoff
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MLE
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HW2 is due this coming Sunday midnight!
Using HW1 code pieces as components;
If you struggle with HW1, please contact TA ASAP
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HW1 grading is work-in-progress,
Grades will be released by next Tuesday class time
We have posted its guide from TA in Canvas
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Here is the review of Q4 and recent QA on L5-L8 Review-Part2
Sep 23 on Quiz-5
This week please cover the following two sessions / Quiz 5 will cover these topics:
Sep 18 on Quiz-4 and HW1
- Included all past quiz and their answers in
https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//notebook/Szz-quiz-QA.pdf
- This week’s reading includes the following two:
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Linear regression with basis expansion https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//contents/S1-L05-nLR/
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model selection and workflow https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//contents/S1-L06-modelSel/
- Next week we will have HW1 due /weekly Reading question due/ and Quiz4 next Tuesday.
Please make use of the TA office hours to get the help you need.
Sep 11 on Quiz-3
Next Quiz Q3: will be on the coming Tuesday covering this week’s two readings:
Sep 10 on Quiz-2
For tomorrow’s in-person class, we will have the second quiz Q2 to cover topics we taught last week on the ML basics and Nutshell:
- https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//contents/S1-L01-nutshell/
Sep 4 on Readings for 0904-0911
- L3: Whole lecture https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//Lectures/S1-LinearReg.pdf
- Related Videos listed in: https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//contents/S1-L02-LR/
- L4 (page1-60) : https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//Lectures/S1-LROptimization.pdf
- Related videos listed in: https://qiyanjun.github.io/2025Fall-UVA-CS-MachineLearningDeep//contents/S1-L04-LRO/
This is the first real algorithm you will learn in this course. So it may seem like a lot. Please be patient and let the instructors know if you have any questions or need anything.
Sep 3 on TA office hours and communication with TAs
- communication with TA via Course Slack Space / Slack Link Shared via Course maillist
- Guangzhi Xiong (hhu4zu@virginia.edu): Tue 3:30pm - 5:30pm (in Thornton Hall E303)
- Kefan Song (ks8vf@virginia.edu): Tue 3:30pm - 5:30pm (in Thornton Hall E303)
- Haochen Liu (sat2pv@virginia.edu): Thursday 12pm noon-2pm (Rice 109)
Sep 2 on Quiz1
First two lectures have been updated at:
- L0: Links
- L1: Links
- This Thursday’s Quiz-1 will cover:
- L0 (not including extra slide pages)
- L1 (page 1- page 40)
Aug 29 on Lecture 1 + Grading policy
- Here is the updated slide deck for our lecture one: Here
- The updated grading policy: Here