Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington
About the Course
Top reviews
SS
May 18, 2020
The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.
MK
Jul 20, 2019
A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!
2576 - 2600 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach
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.
By Sylvia L
•Apr 10, 2016
Very practical and the contents are good. But the quizzes are just too simple and the analysis on the cases are not deep enough.
By yehoshua c
•Jan 6, 2016
I really liked the enthusiastic lecturers and the "easy" to learn approach. with that the exercises were easy and meaningful :)
By Sheng-Qi S
•Oct 30, 2016
课程不是很难,没有怎么涉及详细算法的实现,我是学完Stanford的ML过来的,所以感觉UW的有点像开胃菜,不过这门课介绍了ML的一些概念,并且介绍了Jupyter Notebook这个强大的工具。总之,不虚此行,感谢UW!Thank you UW !
By Vaidas A
•Sep 14, 2016
Very basic overview using GraphLab Create to emphasize intuition - if you are familiar with ML concepts might be a bit boring.
By Ben K
•Feb 22, 2016
A good course, but I found the programming exercises fairly underwhelming. It is just an overview course, so it is what it is.
By Fabio V
•Feb 6, 2016
Real life applications....thrust them till the end (even if I'm not comfortable learning from such good but branded teachers)
By NIKHIL M
•Aug 16, 2020
Very interesting Course , I have learned much more about machine learning.
Thank you coursera for this informative knowledge.
By Andres G
•Apr 9, 2016
I wish they would rely in something else than a proprietary package for the course.... but besides that it's a great course.
By usman i d
•Feb 4, 2020
the Content was good,Instructor well explain. but at some point they need more explanation related to assignments and quize
By Steven K
•Aug 20, 2017
Takes a very soft approach, at least to start with (a little slow). Uses closed source tooling, so that might not be ideal.
By Vladislav V
•Mar 27, 2016
The course is very simple so far. Hope it's just because it's the first one in the specialization. Love the teaching style.
By Cameron M
•May 30, 2018
Good tips. A little bit of hand-holding, however, nice starter course and good introduction to a broad range of concepts.
By Khushboo K
•Apr 21, 2021
Good course for newbies, but hoping the coding used sklearn and other tools that are more useful in real life situations.
By hamid k
•Nov 26, 2019
Great course. Hope to see and update on using the libraries and facilitate the learning process for the students. Thanks,
By Sudeep K
•May 26, 2018
A really nice course for someone who is new to the interesting world of machine learning and all the possible application
By ezz@winning.com
•Nov 13, 2015
Excellent case study approach. Hopefully, other methods-rather than graphlab- will be included as well in future courses.
By faiza S
•Jan 7, 2019
Good as theoretical concepts but labs stick with Graphlab which not commonly used library. But overall good experience.
By Joseph T
•Aug 11, 2016
This course was a good teaser. Everything is very easy and fun. At the same time, you can see how powerful graphlab is.
By Diego F
•Aug 17, 2020
Really good lectures, missed a bit of a complexity and got some problems with the hole turicreate/graphlab transition.
By Sunit K
•May 30, 2020
Very practical course which gives you real world implementations of Machine Learning. Absolutely enjoyed the material!
By Yub B
•Apr 16, 2017
Pretty decent course for beginner to learn machine learning. A case study approach they used is great and interesting.
By CESAR A Q C
•Jul 28, 2021
There are some troubles with the new library but the concepts are clear and the practice was good and entertaining.
By Neel S
•Apr 30, 2020
It's very good and very well understandable course. It cover core concepts of machine learing.
Thank You! Sir and Mam
By Peter W
•Mar 11, 2016
In general a good course, well presented.
4 start only due to some assignment questions not being covered in lectures