Really good overview and easy start into the machine learning community. Only point is, that they do not use the usual python packages for machine learning

Overall the course had a good mix of depth and breadth. There should be examples in the presentations and notebooks to help drive home the concepts better.

A great approach to get started with machine learning, focusing on the big picture first and then, delving into the intricacies in the subsequent courses.

Good course I'm just not a fan of graphlab because I think pandas is used more in industry, but the concepts and mini projects were great and challenging.

Really exciting and amazing. I liked the approach of starting with case studies, it makes the full understanding of the entire course easier and concrete.

Great overview of approaches in ML and large topics. Recommend to have python and some data analysis practice beforehand to get through material quickly.

Very good though a steep learning curve at the last lessons - inspiring lectures as well as practical cases :) Looking forward to the next ML courses :))

One of the assignments had wrong answers for some of the questions, which made passing it a bit tedious. Other than that, it was a fairly descent course.

Some of the links in this course no longer work and need to be updated. This does effect the assignments. Other than the links not working it was a good

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.