Aug 19, 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.
Oct 17, 2016
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 Serban C S•
Feb 11, 2018
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•
Sep 23, 2017
Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.
Nov 10, 2016
not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .
by Pubudu W•
Jul 10, 2017
Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.
by Nguyễn T T•
Oct 14, 2015
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
by Nebiyou T•
Jun 08, 2017
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
by Thomas M G•
Feb 21, 2018
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
by Zizhen W•
Oct 17, 2016
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
by Rajdeep G•
Sep 07, 2020
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
by adam h•
Feb 08, 2016
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
by Cameron B•
Apr 20, 2016
The course is ok, the instruction was very poor for the deep learning section of the course.
by Uday k•
May 01, 2017
The theories for the models should be explained in more detail and with few more examples.
by Alexander B•
Nov 04, 2015
lectures were well done, but the strong focus on using graphlab ruined this course for me
by Naveen M N S•
Feb 07, 2016
Decent course. Not very satisfied with the assignments as they are suited for graphlab
by Saket D•
Feb 28, 2018
Would have been great if anything compatible with python 3 was used in the course.
by kaushik g•
Mar 25, 2018
Content was good but was few years old and things are pacing up a bit these days.
by amin s•
May 29, 2019
primitive course, didn't expect this low standard from university of Washington
by Rajiv K•
Jun 20, 2020
Have to improve for other environment.
have to explain other alternative too.
by Vamshi S G•
Jun 28, 2020
i think the course should be updated, graphlab and some other are outdated.
by Julien F•
Nov 17, 2017
Some quiz questions were vague and/or ambiguous, or not covered in talks.
by Marco M•
Dec 04, 2015
Too much synthetic on very important parts, too much focused on graphlab
by Pawan K S•
May 15, 2016
Nice introductory course but too much dependence on graphLab create
by Jesse W•
Dec 24, 2016
It is better if allow me upgrade only when I finished this course.
by Tushar k•
Dec 01, 2015
Good course to begin machine learning with but it's too easy !!
by Konstantinos L•
Jan 08, 2018
Nice course but too easy. Assignments should be more difficult