Office Hours Time: TBA, Location: TBA
Alternative locations may be available
LINK ISN'T BROKEN I will be absent 25, 27 Sep, and FOR SURE 2 Oct (sorry!). This page gives movies to review in place of morning lecture. Afternoon lecture with Trevor Walker will proceed as usual.
Getting into the class In the past, we've been able to admit everyone who wanted to get into the in-person version of the class after the first rush settled down. Will this be true this semester? who knows? not me. PLEASE do not come and tell me that you really want to get in, or your cat died and its last words were to take the class, or something. I'll try to admit everyone, but can't concentrate on doing that if all try to tell me why they want to get in.
No 4-hour version. Sorry, too many students and versions already.
Can I audit? The main resource limits on the physical class are physical seats in the room. We cannot have an overcrowded room. If physical seats are open, sure (I'm always happy to have an audience); but please don't take a seat that should be occupied by someone who is registered
Evaluation is by: Homeworks and take home final.
I will shortly post a policy on collaboration and plagiarism
I will start at the beginning of the textbook and proceed to the end, covering approximately one chapter per week. You'll notice there are 14 substantive chapters and 15 weeks; this is to allow a little spreading out, but in week N I expect to be in or close to chapter N. Read the textbook. I wrote it specifically for this course, AND it's free. I will split time in lecture between sketching important points described in the text, and solving problems. If you haven't read the text, this might be quite puzzling.
Important This will change as I purge typos, etc. In the past, people have brought the pdf with them on mobile devices. If you print it, you'll have to do it again.
Applied Machine Learning, D.A. Forsyth, (approximate 12'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 13'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 14'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 15'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 16'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 16'th draft)
Applied Machine Learning, D.A. Forsyth, (approximate 17'th draft)
Piazza duty list
Generally, TA's are expected to spend much of their time on piazza. But we have a system of on-duty and off-duty days. On these days, you'll find much of the piazza action from the named TA (we hope!)
Date | AM-low-res | PM-low-res | AM-hi-res | PM-hi -res |
---|---|---|---|---|
28-Aug | ||||
30-Aug | 30 Aug | 30 Aug | 30 Aug | 30 Aug |
4-Sep | 4 Sep | 4 Sep | 4 Sep | 4 Sep |
6-Sep | 6 Sep | 6 Sep | 6 Sep | 6 Sep |
11-Sep | 11 Sep | 11 Sep | 11 Sep | 11 Sep |
13-Sep | 13 Sep | 13 Sep | 13 Sep | 13 Sep |
18-Sep | 18 Sep | 18 Sep | 18 Sep | 18 Sep |
20-Sep | 18 Sep | 20 Sep | 18 Sep | 20 Sep |
25-Sep | Travel | 25 Sep | Travel | 25 Sep |
27-Sep | Travel | 27 Sep | Travel | 27 Sep |
2-Oct | Travel | 2 Oct | Travel | 2 Oct |
4-Oct | 4 Oct | 4 Oct | 4 Oct | 4 Oct |
9-Oct | 9 Oct | 9 Oct | 9 Oct | 9 Oct |
11-Oct | 11 Oct | 11 Oct | 11 Oct | 11 Oct |
16-Oct | 16 Oct | 16 Oct | 16 Oct | 16 Oct |
18-Oct | 18 Oct | 18 Oct | 18 Oct | 18 Oct |
23-Oct | 23 Oct | 23 Oct | 23 Oct | 23 Oct |
25-Oct | 25 Oct | 25 Oct | 25 Oct | 25 Oct |
30-Oct | 30 Oct | 30 Oct | 30 Oct | 30 Oct |
1-Nov | 1 Nov | 1 Nov | 1 Nov | 1 Nov |
6-Nov | Travel | 6 Nov | Travel | 6 Nov |
8-Nov | Travel | 8 Nov | Travel | 8 Nov |
13-Nov | Travel | 13 Nov | Travel | 13 Nov |
15-Nov | 15 Nov | 15 Nov | 15 Nov | 15 Nov |
27-Nov | 27 Nov | 27 Nov | 27 Nov | 27 Nov |
1-Dec | 1 Dec | 1 Dec | 1 Dec | 1 Dec |
4-Dec | 4 Dec | Use am movie | 4 Dec | Use am movie |
6-Dec | 6 Dec | Use am movie | 6 Dec | Use am movie |
broken links fixed (I think)
low resolution movies of the class screen; good motivation to remind me to adjust zoom on projector, swap screens, etc.
higher resolution movies of the class screen, for those who like more pixels.
Probability and Statistics for Computer Science, D.A. Forsyth