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.
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
By Anshul T•
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•
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 Outdated python packages are used though in the hands-on section.
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•
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 S•
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•
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•
its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library
By ZHENG W•
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•
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•
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 Oliver K•
this is a good first introductory course on various machine learning algorithms. Helped me a lot to understand the basic principles.
By William P•
Installation of the recommended toolkit is tricky and very expensive if perused non-academically.
Content is clear and well presented.
By James C•
Good primer to Machine Learning - uses real world examples to introduce different machine learning concepts in an interesting way.
By Gello M V•
Interesting! The lecturers were good. Though sometimes, things get boring. But overall, the subject and the quizzes were exciting!
By fetty f•
This course is very fun especially the lecturers. Beside that, all the topics have contextual sample that very easy to understand
By Balasubramanya S•
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•
Lots of problem with graphlab installation.... and turicreate is not supporting all the functions the same way as graphlab does.
By Ahmed N•
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•
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•
I really liked the enthusiastic lecturers and the "easy" to learn approach. with that the exercises were easy and meaningful :)
By Sheng-Qi S•
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•
Very basic overview using GraphLab Create to emphasize intuition - if you are familiar with ML concepts might be a bit boring.
By Ben K•
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•
Real life applications....thrust them till the end (even if I'm not comfortable learning from such good but branded teachers)
By NIKHIL M•
Very interesting Course , I have learned much more about machine learning.
Thank you coursera for this informative knowledge.