CS221: Artificial Intelligence: Principles and Techniques | Hacker News Reader

CS221: Artificial Intelligence: Principles and Techniques

web.stanford.edu

122 pointskercker13 comments

Sadly, viewing the videos requires login with a Stanford ID. For those inclined to learning through videos like me, this is a good alternative resource for the same - https://see.stanford.edu/Course/CS229

More than that, you have to be an enrolled student, SUnetid is not enough

This is a really good course, but the one that requires a lot of background in probability and some background in linear algebra.

One of the objectives of this course is to prepare students for research in Machine Learning.

Forgive me, but why is the fact that a university is offering a class to its students (hacker)news-worthy? Isn't that what universities do?

>Forgive me, but why is the fact that a university is offering a class to its students (hacker)news-worthy? Isn't that what universities do?

Assuming your comment is non-troll.

A lot of the HN community happens to be involved in / has been involved in some form of higher education (especially in CS) at some point in their life, so it is always interesting to see what an institution like Stanford is teaching the next generation of potential leaders of the tech (and future HN users) especially in a field with infinite potential like AI.

Firstly, damn there are a lot of TAs for the course! Secondly, it's pretty interesting how the course team has basically automated everything from homework submission checking to PDF report validation. I wonder how many students are taking the course?

As for the course itself, it seems quite interesting. Too bad I already have a lot on my plate.

I imagine there's a metric shit ton of students due to the recent memification of machine learning.

I am a student at online MS from Georgia Tech and a large number of TAs is pretty usual there too.

Incidentally right now I am taking the AI course there and the assignments submission and checking is automated to the core. There are a few hiccups though but the team of TAs is super responsive and working through it.

I think these are the things that should be automated by default in most courseworks as it frees up time for more important things. I see we have a lot of office hours in my course and I can basically jump to any running hangout based office-hour within few hours from the time I have a question.

What a coincidence: I actually just started grad school this year at GT but in ECE! Awesome, it's good to hear that the online MS is running smoothly. I don't think the CS department here is as large as Stanford's though, but I'm not totally sure.

Great! Good luck for your grad school journey.

I am mostly finishing up with my degree. And yes I have heard that CS department is not as large but the OMSCS is scaling up very quickly.

Thanks man! I wish you the best as well :)

Stanford student here – not taking the class (took it a couple of years ago), but have many friends who are. According to them, there's roughly 700 students currently enrolled in the course.

Rather odd that the course omits decision trees.

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