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Comment by hvs | Hacker News Reader

OT: His online Machine Learning class last year was great. He is the best professor I've ever had, and explains things so clearly that you understand them the first time. You are lucky if you ever get to work or study under him.

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I second this! I have taken 7 Coursera classes, and most of them "lightly": just doing as much work as I needed to for passing the class, with just a few classes that I did put a lot of energy into. Andrew's class was in this second category: I kept taking the tests and tweaking the homework assignments over and over again until I got a 99.5% score in the class. His class was lots of fun and also very useful material. Recommended!!

Yes, unfortunately his partner, Daphne Koller, though very esteemed academically, made me feel very frustrated in the PGM class. Not the same great feeling of clarity.

In case this comment dissuades others from checking out Dr. Koller's class, I will add that I found her class challenging and well-constructed. I recommend it.

That's awesome to hear! I'm taking the Coursera class now, and it's been great so far. It just started a couple weeks ago, so it definitely isn't too late to join! https://www.coursera.org/course/ml

I wish Coursera followed the Udacity model. I always find out about these classes after they're already weeks in progress or over.

Check out class-central.com for a list of all current and upcoming classes. Coursera also lets you star a specific class and get notified if they are repeated in a new cycle.

Unless you're attached to getting a certificate of completion, you can pretty much follow the Udacity model. As long as the course hasn't finished, sign up and get around to the videos and assignments when you get to them. There isn't the same discussion forum interchange, and your homework isn't graded, but they don't drop the class from your list even if you do nothing during the run.

Note that you'll want to be careful to cache the materials offline if you do this, especially if you plan on "catching up" after the formal end date for the class. Some of the courses (notably the Princeton algorithms ones) disable access to the materials once the official course ends.

You can star any Coursera class to receive notifications whenever new sessions are announced.

Also, I believe it's still possible to join the current session (first assignment was due this weekend, but you can turn it in late with just a 20% penalty.)

I take new courses at any time, even if they have ended. Later on, when they recycle, I can do them all over again with ease.

thanks very much for pointing this out, joined the class now, hope i can catch up

Haha me too late to the party. I just joined. Frantically watching the video lectures since the assignments are due today (hard deadline)!

Okay, now you got me scared. The hard deadlines for all my assignments are on July 8th 8:59AM (that's CEST, so it's probably July 7th in PST.)

I took this one https://www.coursera.org/course/ml and it started on Apr 22 and ends around July 1st I think. So not sure what course you are talking about.

Well, this is weird. I'm taking the exact same course and here's what I see for the first programming assignment: http://i.imgur.com/GyEwcUG.png (same with review questions)

Sorry my bad. I was under that assumption since I saw that the hard deadline for review questions were today, so I thought that must hold for the programming assignment.

Keep it going! I attended the very first one (~75%), and then did a second time last year. It was then easy to get to a perfect 100% score, having done most of the exercises during the first time.

It is one of the best Coursera classes. I had a blast, and strongly recommend it. I decided to continue learning ML, mostly because Prof. Ng.

I'm also taking the class. Just finished the logistic regression programming assignment. Great stuff. You can take those algorithms and kind of add a bit of magic to your software.

It’s great this year as well. Very enjoyable class.

I have to blame you, because now I had to take the course in coursera! I always wanted to learn machine learning. Better late than never!

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