18 de ago de 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.
The forums and discussions were really useful and helpful while doing the assignments.
16 de out de 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
por Yuliana F N•
22 de dez de 2020
Me pareció algo confusa la explicación de los modelos de recomendación, creo que debió ser más clara y y práctica.
por Ajay S•
4 de mar de 2019
Good for beginner level, not for intermediate or advance level. I learned more about graphlab than anything else.
por Serban C S•
11 de fev de 2018
Using a proprietary library for a paid course is not really a big issue but some people will be turned off by it.
por Pēteris K•
23 de set de 2017
Definitely a good intro to the richness of ML, but would have preferred more rigorous assignments and evaluation.
10 de nov de 2016
not using scikit and assigment way too easy, not challenging, but high quality video, very easy to understand .
por Pubudu W•
10 de jul de 2017
Good survey course on ML techniques. Not very detailed and the exercises are too simplistic for real learning.
por Nguyễn T T•
13 de out de 2015
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
por ADNAN A G•
9 de out de 2020
old and bad quality but very good explanation half of the course is programming there is no machine learning.
por Nebiyou T•
7 de jun de 2017
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
por Thomas M G•
21 de fev de 2018
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
por Zizhen W•
16 de out de 2016
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
por Rajdeep G•
7 de set de 2020
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
por Tilo L•
20 de mai de 2022
Intresting topics get broadly introduced, sadly the course it outdated at a number of occasions...
por adam h•
8 de fev de 2016
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
por Reem N•
23 de jun de 2022
It is very general however it gave me an insight to different machine learning applications.
por Cameron B•
20 de abr de 2016
The course is ok, the instruction was very poor for the deep learning section of the course.
por Uday K•
1 de mai de 2017
The theories for the models should be explained in more detail and with few more examples.
por Alexander B•
4 de nov de 2015
lectures were well done, but the strong focus on using graphlab ruined this course for me
por Naveen M N S•
7 de fev de 2016
Decent course. Not very satisfied with the assignments as they are suited for graphlab
por Carlos A C L•
25 de jan de 2021
all lectures are obsoleta, and it's neccesary to install a WSL, the rest very well.
por Saket D•
28 de fev de 2018
Would have been great if anything compatible with python 3 was used in the course.
por kaushik g•
25 de mar de 2018
Content was good but was few years old and things are pacing up a bit these days.
por amin s•
29 de mai de 2019
primitive course, didn't expect this low standard from university of Washington
por Rajiv K•
20 de jun de 2020
Have to improve for other environment.
have to explain other alternative too.
por Vamshi S G•
27 de jun de 2020
i think the course should be updated, graphlab and some other are outdated.