Very good introduction to machine learning with good examples.

Some questions in the quiz could be rephrased to avoid multiple possible interpretations.

I like the GraphLab coding，and this course is an intro, not too much details, if you want to go further, better take the other courseras in this class.

This course is very useful for me as a ML beginner. The way they teach is very interesting and I can do some experiments at once. I like this course!

I enjoyed the course.

I wish it had more machine data driven models to to address more industrial type problems, for instance Predictive maintenance.

The course was OK, but I would introduce more about scikit-learn rather than a library that can only be installed in MacOS or Linux in an easier way

That's a good course overall, but the implementation is too much depend on graphlab. It would be nicer if the instructors switch to use scikit-learn

It was more about learning DATO then any insight. However I understand that this course is good motivator for beginners, but was very boring for me.

A nice intro to ML foundations. Will enroll into the follow up courses from this specialization.

Using python2 and graphlab was a bit of a turn off.

A good introduction to ML applications, but not as detailed and thorough as I expected. I'm looking forward to the following of the specialization.

The course is an excellent starter to understand the foundations of Machine Learning. The Assignments could a bit more involved and have more rigor

Thank you Emily & Carlos! I really enjoyed the course. It was very well taught with clear explanations. Looking forward to the rest of the courses!

It is a very good course to start in machine learning. I liked it. But I think it need more details in Graphlab and how it is really works inside.

Actually the course goes great, just a cuople onf the intro video are useless, and in fact distract the real value of the course in its first week

The turicreate vs graphlab gap from the videos and the notebooks are confusing and sometimes frustrating. Though it is a very nicely made course.

This is the bets course to learn ML as it teaches you through project base learning which most of the courses don't do. It's really a nice course

Deep learning session is a bit unclear in that it doesn't give a pratical example of how a simple Nueral network can be mapped to a deep-feature.

The ML Foundations course provides a good overview of the other courses in the specialization. It also provides a good introduction to GraphLab.

The course is great, thank you UW

But there's some problem with the after class answers

For details, please refer to my comments on forum, thanks

The course is great. The only problem was Graphlab and unfortunately i have to convert the code for pandas. Overall the course was informative

Fantastic way of teaching. Only thing that I felt uncomfortable is that practical videos are old and mentioned graphlab instead of turicreate.

Provides a good overview of the machine learning branches. Makes sense to approach it as a black box and then take deep dives in later series.

Updated videos in line with Turicreate could be of great help. Thoroughly enjoyed the learning experience though! Thanks to both the tutors!

Good introduction. I wish the notebooks had been a little more interactive, and there was more emphasis on applying the methods to new data.

A good course to show the extent of what is coming up in the specialization, a quick and dirty hands-on approach and pleasant course tutors.

The course is well structured with a mix of theory and python hands -on. Outdated python packages are used though in the hands-on section.