CS6601: Artificial Intelligence Course Overview/Thoughts
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- Опубликовано: 25 июл 2024
- Course Repo: github.gatech.edu/omscs6601
0:00 Intro/Course Overview
1:10 Grading Scale
2:18 Game Playing Assignment
3:28 Search Assignment
4:39 Bayes Net Assignment
5:14 Midterm
5:59 Decision Trees Assignment
7:17 Gaussian Mixture Models Assignment
7:59 Hidden Markov Models Assignment
8:44 Final Exam
10:20 Closing Thoughts
Thank you for your review and comments. This is going to be my first course in the OMSCS program, and I appreciate you shedding some light on what’s about to come!
Good review Bryan 👍
Thanks Bryan!
Well, I'm glad you enjoyed this class
haha
xD
Bryan-Do you know anything in regards to salary statistics of graduates upon completion of the program? Thanks.
Hey Brian, What do you think it'll be like if this is the first course in the OMSCS program?
for context i'll be working 40-50 hrs/wk. Only planning to take this class. Background is in Python (~6/10, 10 being I can make meaningful contributions to Open Source Projects) and familiar with AI concepts, primarily through self learning. Lin. Alg and Calc III is a bit rusty though.
I do think that it may be a bit of a difficult starter course. AI is definitely a more time-intensive class, and if you are working 40-50 hours a week for work, it will be a lot of time. I would recommend taking an easier course your first semester just to get adjusted to the work/life balance (or lack of it lol)
Hey Bryan! Thanks for these videos. What 2 classes would you recommend for the first semester for someone planning to do the ML specialisation?
EVERYONE recommends only taking 1 first semester. I took KBAI and thought it was a great first class. Maybe DVA or CN or ML4T if you can get in are other good first classes
@@vincentpisano6440 I will not be working a job or anything, I figured the 1 course recommendation was for people who have full time jobs. Thank you for your suggestions, I will check them out! :)
@@nikitaanand2617 I did AI4R and AI, Ethics, and Society ! I enjoyed it, but was hard to balance with work. If you don't have a full time job, it'll be a breeze
@@bryan_truong That's good to know! Thanks for these videos- they're super informative, hope to see more :)
Hi Bryan, thank you for the review. I took AI4R in the summer semester which I found medium to easy. I know python, calculus, linear algebra, and probability. I never took algorithms and data structures. Do you think this would create a big problem for me?
nope- you should be fine!
@@bryan_truong Thank you:)
Thanks, Bryan. Would you recommend taking Deep Learning over AI as it teaches more recent techniques and algorithm? I've been thinking about this for a couple of days..
I haven’t taken deep learning so I honestly don’t really know
How to study for the exam ???
Having taken both AI and AI4R, would you say I should focus more on brushing up on LA, probability, or any other math you recommend or focus more on getting python fluency?
For AI4R- Linear Algebra is more important than probability. For AI, probability is more important (linear algebra isn't used at all)
Did you brush up on math prior to starting the program?
You are saying they do curve at the end of the semester? They class is finishing in a few weeks and I'm a bit concerned about my grade.
Yep they do
Im taking ML4T this Fall semester and I considering this to be my next course. I feel like difficulty is not super increased compared with ML4T? what do you think?. I did had a lot of fun in ML4T and I feel confortable with Python. However, I am worried about the amount of time I am expected to spend compared with ML4T
I found AI to be harder but could be just because I took it before ML4T
Hey, which pc did you use to get through the course? If it was M1/M2 mac, did you have any issues with the environment setup?
so as a disclaimer, this was 2 years ago. At the time, i think it was recommended to use intel macs (which I had). I was using a 2014 MBP at the time. But nowadays, M1/M2 mac's are more and more popular, so I assume it is updated/or being updated to have more support for these apple chips. I'd recommend checking out the latest syllabus to see how it looks
Hey Bryan! will you take KBAI in the future?
I don’t plan on it- but you never know. I still haven’t done any core classes for the ML specialization so I’m going to focus on those next
@@bryan_truong I see. Makes sense. Good luck on your next classes!
So exams are pen and paper and math heavy?
Pencil paper or you can mark it up using a pdf editor. A bit of probability but not all math
Thanks for your thoughts on the class! These videos are really helpful.
I know this is kind of a dick move but would you mind giving my personal statement a read? I've had it written up for a while now and kinda scared to send it off, partly because I haven't been able to get any feedback on it. Your thoughts would really be appreciated and you'd really be helping me out!
try posting it on the omscs reddit, usually get some responses
I did but it got no traction unfortunately. Thanks, though