Bewertung und Feedback des Lernenden für Machine Learning Foundations: A Case Study Approach von University of Washington
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Top-Bewertungen
BL
16. Okt. 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
PM
18. Aug. 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.
2876 - 2900 von 3,034 Bewertungen für Machine Learning Foundations: A Case Study Approach
von Nguyễn T T
•13. Okt. 2015
the lectures are pretty great, engaging. the assignments stick with the lab exercise. the forum pretty active.
von ADNAN A G
•9. Okt. 2020
old and bad quality but very good explanation half of the course is programming there is no machine learning.
von Nebiyou T
•7. Juni 2017
Some of the modules lacked polish and have not been updated since initial recording!
But they were practical.
von Thomas M G
•21. Feb. 2018
In my view, too much focus on GraphLab.
This is a problem because GraphLab doesn't seem to be open source.
von Zizhen W
•16. Okt. 2016
Some instructions of the programming assignments are not all that clear, which wasted me a lot of time.
von Rajdeep G
•7. Sep. 2020
They should upgrade the course in respect to python 3. Irrespective of that the theory part was great
von Tilo L
•20. Mai 2022
Intresting topics get broadly introduced, sadly the course it outdated at a number of occasions...
von adam h
•8. Feb. 2016
would vastly prefer if this was taught using sckit-learn and pandas, given their broader use.
von Reem N
•23. Juni 2022
It is very general however it gave me an insight to different machine learning applications.
von Cameron B
•20. Apr. 2016
The course is ok, the instruction was very poor for the deep learning section of the course.
von Uday K
•1. Mai 2017
The theories for the models should be explained in more detail and with few more examples.
von Alexander B
•4. Nov. 2015
lectures were well done, but the strong focus on using graphlab ruined this course for me
von Naveen M N S
•7. Feb. 2016
Decent course. Not very satisfied with the assignments as they are suited for graphlab
von Carlos A C L
•25. Jan. 2021
all lectures are obsoleta, and it's neccesary to install a WSL, the rest very well.
von Saket D
•28. Feb. 2018
Would have been great if anything compatible with python 3 was used in the course.
von kaushik g
•25. März 2018
Content was good but was few years old and things are pacing up a bit these days.
von amin s
•29. Mai 2019
primitive course, didn't expect this low standard from university of Washington
von Rajiv K
•20. Juni 2020
Have to improve for other environment.
have to explain other alternative too.
von Vamshi S G
•27. Juni 2020
i think the course should be updated, graphlab and some other are outdated.
von Julien F
•16. Nov. 2017
Some quiz questions were vague and/or ambiguous, or not covered in talks.
von Marco M
•4. Dez. 2015
Too much synthetic on very important parts, too much focused on graphlab
von Alejandro V
•13. Nov. 2020
TuriCreate is not the apropriate tool for practical Machine Learning
von Pawan K S
•15. Mai 2016
Nice introductory course but too much dependence on graphLab create
von Jesse W
•24. Dez. 2016
It is better if allow me upgrade only when I finished this course.
von Tushar k
•30. Nov. 2015
Good course to begin machine learning with but it's too easy !!
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