Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington
About the Course
Top reviews
BL
Oct 16, 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
SZ
Dec 19, 2016
Great course! Emily 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.
2551 - 2575 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach
By Yipu C
•Nov 8, 2020
The course is great, thank you UW
But there's some problem with the after class answers
For details, please refer to my comments on forum, thanks
By Rishabh s
•Jul 14, 2020
The course is great. The only problem was Graphlab and unfortunately i have to convert the code for pandas. Overall the course was informative
By Yashodhar P P
•Jul 12, 2020
Fantastic way of teaching. Only thing that I felt uncomfortable is that practical videos are old and mentioned graphlab instead of turicreate.
By Kingshuk C
•Dec 14, 2015
Provides a good overview of the machine learning branches. Makes sense to approach it as a black box and then take deep dives in later series.
By Sunil N
•Jan 30, 2020
Updated videos in line with Turicreate could be of great help. Thoroughly enjoyed the learning experience though! Thanks to both the tutors!
By Andrew V G
•Dec 24, 2017
Good introduction. I wish the notebooks had been a little more interactive, and there was more emphasis on applying the methods to new data.
By Anshul T
•Dec 26, 2015
A good course to show the extent of what is coming up in the specialization, a quick and dirty hands-on approach and pleasant course tutors.
By Kunnathupeedika M B
•Sep 8, 2020
The course is well structured with a mix of theory and python hands -on. Outdated python packages are used though in the hands-on section.
By Jiancheng Y
•Dec 6, 2015
Great course design and case study! More detail about algorithm will be better, but maybe you can find them more in the following courses.
By TE Z
•Dec 21, 2018
A good way to get familiar with the machine learning things. it provides the very basic concepts and way of thinking from ML perspective.
By dina t
•Feb 10, 2016
The overall course was very useful.
However some topics I found difficulty to understand the idea even after repeating the video 3 times.
By Lucas M
•Nov 10, 2018
I couldn't install Graphlab create on my own environment, so I had to translate almost everything to Pandas/SKLearn.
Great content, still
By Yogesh D
•Apr 14, 2016
its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library
By ZHENG W
•Sep 16, 2017
Great intro course to machines learning. For those who perhaps learnt back in university, it can also serve as a great revision course.
By Maen A
•Jul 17, 2019
The course content is great, it would be even better if the assignment were a bit more challenging rather than following instructions.
By Marcello G
•Nov 30, 2015
It'd be 5/5 if it used scikit-learn, instead of proprietary software (albeit with 1yr free to use license for non-commercial purposes)
By NOUREL H M
•Sep 9, 2023
c'est un bon cours y a un petit problème concernant la partie code la bib Turicreate j'arrive pas a l'implémenter sur mon pc Windows.
By Oliver K
•Jun 3, 2018
this is a good first introductory course on various machine learning algorithms. Helped me a lot to understand the basic principles.
By William P
•Apr 22, 2016
Installation of the recommended toolkit is tricky and very expensive if perused non-academically.
Content is clear and well presented.
By James C
•Jun 29, 2016
Good primer to Machine Learning - uses real world examples to introduce different machine learning concepts in an interesting way.
By Gello M V
•Jan 3, 2016
Interesting! The lecturers were good. Though sometimes, things get boring. But overall, the subject and the quizzes were exciting!
By fetty f
•Feb 18, 2016
This course is very fun especially the lecturers. Beside that, all the topics have contextual sample that very easy to understand
By Balasubramanya S
•Aug 25, 2018
Good course for understanding basics about ML, it will be good for professionals to start same course with Open source libraries
By Ching C H J
•May 20, 2018
Lots of problem with graphlab installation.... and turicreate is not supporting all the functions the same way as graphlab does.
By Ahmed N
•Feb 24, 2017
This course is very important for me and i really learned many things of machine learning concepts and its important study case.