It should be splited in two larger courses

Lab material are not getting installed

Labs Are not responding it sucks a lot

Could have been more elaborative

不建议新人学，这个是系列课程的一部分，内容不多 只讲个大概给你听

Practical Classes were Missing.

No one answers on the forum.

Very difficult for beginners

beginners, not intermediate

Contains outdated material

can be done much better

Lab are working worst

Good for beginners

Too superficial

not bad,useful

Too simplistic

Nice course,

Good Course.

good.

GOOD.

good

Good

It's too bad some people with phds and very poor teaching skills think they can write up some code and feel they are teaching these classes. That being said, it's super cheap and it's very easy to find information online to supplement the lack of adequate descriptions of the topics. Changes that would make me more likely to take another coursera class :

Don't have a bunch of really short videos, combine them into one longer one.

If there is text or code on a slide, make sure that is in the transcription.

Don't have the dumb popup questions that stop the video and make you find the mouse and click to restart the video. Many of us are listening to the video doing something else, I listen over and over. Sometimes, I have to read the transcription to understand what is being said, so I have to stop, get the mouse, click back up to the slides, press SKIP, etc...

If you have an exam, make sure to later send us the answers - e.g. the code that we were expected to write. This is the weakest and most frustrating part of this class. I was not sure how to some things, in part because I wasn't sure what was being asked, to what detail. Even the class discussions showed we weren't sure what data set to use for what. It seems to rely on peer grading, but most of the responses I got from peers was either completely absent or not useful. But thanks for keeping this relatively cheap.

The course covers basic machine learning algorithms and I do not fully understand why it's ranked as an Intermediate one.

Pros:

You will definitely pick up some new skills after completion this course.

There is simple explanation of a basic idea underlying each algorithm the authors present in the course. It's not hidden in tons of math which is good for beginners and is likely to be bad for those who know something about ML and want to get some deeper understanding.

Cons:

You pay for the course and receive a massive advertisement of IBM services. This shouldn't be tolerated.

You are forced to fulfill a final project using IBM Cloud and Watson studio. So, even if you don't want to work with those tools, it's mandatory for you to waste your time on picking up potentially useless skills.

You might encounter with an error occurring during a signing up on IBM Cloud page. In order to resolve the issue you might need to contact their support team, which is quite annoying, time-consuming and, moreover, your subscription may start another month and you won't be able to suspend it if you want to get a certificate.

Think twice before enrolling into this course. I'd better find an alternative.