Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
By Aleksei Z•
Materials from video differ from the web ( in videos graphlab, in materials Turicreat), including home assignment.
By Yuliana F N•
Me pareció algo confusa la explicación de los modelos de recomendación, creo que debió ser más clara y y práctica.
By Ajay S•
Good for beginner level, not for intermediate or advance level. I learned more about graphlab than anything else.
By Serban C S•
Using a proprietary library for a paid course is not really a big issue but some people will be turned off by it.
By Pēteris K•
Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.
not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .
By Pubudu W•
Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.
By Nguyễn T T•
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
By ADNAN A G•
old and bad quality but very good explanation half of the course is programming there is no machine learning.
By Nebiyou T•
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
By Thomas M G•
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
By Zizhen W•
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
By Rajdeep G•
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
By adam h•
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
By Cameron B•
The course is ok, the instruction was very poor for the deep learning section of the course.
By Uday k•
The theories for the models should be explained in more detail and with few more examples.
By Alexander B•
lectures were well done, but the strong focus on using graphlab ruined this course for me
By Naveen M N S•
Decent course. Not very satisfied with the assignments as they are suited for graphlab
By Carlos A C L•
all lectures are obsoleta, and it's neccesary to install a WSL, the rest very well.
By Saket D•
Would have been great if anything compatible with python 3 was used in the course.
By kaushik g•
Content was good but was few years old and things are pacing up a bit these days.
By amin s•
primitive course, didn't expect this low standard from university of Washington
By Rajiv K•
Have to improve for other environment.
have to explain other alternative too.
By Vamshi S G•
i think the course should be updated, graphlab and some other are outdated.
By Julien F•
Some quiz questions were vague and/or ambiguous, or not covered in talks.