very good overall. The last week (Neural networks) is a little too fast.

A good and quick introduction to ML. Like the Case Study based approach.

OK course if you don't have any background knowledge. Graphlab oriented.

Seems a bit old but it was a great way to introduce myself to the basics

Great Course, just felt little weak the last module about deep learning.

a good introduction of the topics. I like the ML diagram in each module.

Course is kind a old and some dependencies are not working as explained

I enjoyed the course and the fact that it uses Python for the exercises

A good introduction tot he tools and possibilities of machine learning.

Useful course to get general idea to get onboard with Machine Learning.

Goes through many topics, but not as in depth as one would have liked.

Was so good to get some exposure to the different areas of application

Good course with the overview of different machine learning techniques

A good global introduction and simply explained. With fun as well....

Really great course content, but the assignments could become better.

Great Course!! Helped me learning new things. Great way of teaching.

Great course. Super case driven approach, professors are very clear.

wish to use more common ML libraries, but the content was very good

All is well, but instructors could have used more common libraries

Just the tip of the iceberg, you'll want to dive in on each topic.

Good Intro course and familiarize yourself with iPython notebook.

pretty good - wish there was more info on the internals to models

Interesting intro class. Will very much leave you wanting more.

Good introduction, the python quick description is short enough.

Contents are up to mark and very helpful in learning the course