would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.

The course is ok, the instruction was very poor for the deep learning section of the course.

The theories for the models should be explained in more detail and with few more examples.

lectures were well done, but the strong focus on using graphlab ruined this course for me

Decent course. Not very satisfied with the assignments as they are suited for graphlab

all lectures are obsoleta, and it's neccesary to install a WSL, the rest very well.

Would have been great if anything compatible with python 3 was used in the course.

Content was good but was few years old and things are pacing up a bit these days.

primitive course, didn't expect this low standard from university of Washington

Have to improve for other environment.

have to explain other alternative too.

i think the course should be updated, graphlab and some other are outdated.

Some quiz questions were vague and/or ambiguous, or not covered in talks.

Too much synthetic on very important parts, too much focused on graphlab

TuriCreate is not the apropriate tool for practical Machine Learning

Nice introductory course but too much dependence on graphLab create

It is better if allow me upgrade only when I finished this course.

Good course to begin machine learning with but it's too easy !!

Nice course but too easy. Assignments should be more difficult

Problems and files and videos not updated base on the changes

The libraries used on the course are a little bit unsopported

Concepts and explanation is great but using outdated modules

The course should be taught in pandas rather than graphlab.

Not a bad course, but extremely basic. Was expecting more.

No good without the missing course and capstone projects

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