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.

Great course design and case study! More detail about algorithm will be better, but maybe you can find them more in the following courses.

A good way to get familiar with the machine learning things. it provides the very basic concepts and way of thinking from ML perspective.

The overall course was very useful.

However some topics I found difficulty to understand the idea even after repeating the video 3 times.

I couldn't install Graphlab create on my own environment, so I had to translate almost everything to Pandas/SKLearn.

Great content, still

its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library

Great intro course to machines learning. For those who perhaps learnt back in university, it can also serve as a great revision course.