学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈
课程概述
热门审阅
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.
2576 - Machine Learning Foundations: A Case Study Approach 的 2600 个评论(共 3,157 个)
创建者 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.
创建者 Sylvia L
•Apr 9, 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.
创建者 yehoshua c
•Jan 5, 2016
I really liked the enthusiastic lecturers and the "easy" to learn approach. with that the exercises were easy and meaningful :)
创建者 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 !
创建者 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.
创建者 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.
创建者 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)
创建者 NIKHIL M
•Aug 15, 2020
Very interesting Course , I have learned much more about machine learning.
Thank you coursera for this informative knowledge.
创建者 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.
创建者 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
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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,
创建者 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
Excellent case study approach. Hopefully, other methods-rather than graphlab- will be included as well in future courses.
创建者 faiza S
•Jan 7, 2019
Good as theoretical concepts but labs stick with Graphlab which not commonly used library. But overall good experience.
创建者 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.
创建者 Diego F
•Aug 17, 2020
Really good lectures, missed a bit of a complexity and got some problems with the hole turicreate/graphlab transition.
创建者 Sunit K
•May 30, 2020
Very practical course which gives you real world implementations of Machine Learning. Absolutely enjoyed the material!
创建者 Yub B
•Apr 16, 2017
Pretty decent course for beginner to learn machine learning. A case study approach they used is great and interesting.
创建者 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.
创建者 Neel S
•Apr 29, 2020
It's very good and very well understandable course. It cover core concepts of machine learing.
Thank You! Sir and Mam
创建者 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