2019년 8월 18일
The course was well designed and delivered by all the trainers with the help of case study and great examples.
The forums and discussions were really useful and helpful while doing the assignments.
2016년 10월 16일
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
교육 기관: Juarez B•
2017년 1월 12일
This course introduces the key topics of Machine Learning, but the math behind the algorithms is not explained and the programming exercises are too easy. Unfortunately, it also relies heavily on graphlab instead of using open source software.
교육 기관: Mohit S S•
2018년 8월 7일
Course contet is ok. But, intructors really need to teach in a platform neutral way or some other popular library for which ample support is available. In my opinion, learning a tool which is nowhere used in te industry is not a good idea.
교육 기관: Tarek M s•
2017년 11월 5일
the course is good for starter but according to its repetition I waited more .
one star down for many useless information in lectures about Amazon products and so on.
one star down for forcing using unpopular python library .
교육 기관: Piyush K P•
2016년 10월 24일
thanks to prof and cousera for this wonderful course. I wish the programming part was taught separately from basic. I have taken the previous course which was case study approach with respect to which it was slightly tough.
교육 기관: Jerome B•
2017년 12월 19일
The teachers are nice and the content is pretty interesting, but they keep talking about the Capstone that we actually won't do. That make me wonder if it's worth continuing, and wonder why they cancelled it eventually.
교육 기관: Gregory T•
2016년 10월 30일
This was a valuable introductory survey course. For me, the challenge came from my unfamiliarity with Python not the material. I would rate this class as "entry level" for anybody with a college-level technical degree.
교육 기관: Brandon P•
2018년 3월 10일
There were a lot of assumptions made about my math background. Terms and concepts were used that are foreign to most people and while the forums were helpful it was interesting to see that this is a common feeling.
교육 기관: Mohammad A•
2019년 7월 22일
Course include great knowledge, but when coming to work on tools, they are using old method like we have python 3.7, but course is going through python 2.7 and also older version. That's creating confusion somehow
교육 기관: Ivan P•
2016년 5월 6일
It's not a bad course, but it forces students to use GraphLab, a framework created by one the professors teaching the course, instead of using scikit-learn, a widely used framework for machine learning in Python.
교육 기관: chris s•
2016년 1월 27일
This course has so much potential but is based on proprietary software. The instructors are excellent and the content is really good. It would get 5 stars if it was based on all open source software.
교육 기관: Nishant K•
2020년 10월 31일
Great approach with basic explanation of applying and importance of the domain in read world examples. Could have been more in depth in few areas but hopefully will be taken care in following courses.
교육 기관: AHMED E A•
2020년 7월 23일
The course needs to be updated....I have hard times installing turicreate and graphlab on my laptop... at the end, I had to use google collab....
I guess this course needs to use tensorflow instead...
교육 기관: Luis F A C•
2020년 12월 5일
Aprendí muchas cosas interesantes. Actualmente es grande la dificultad para realizar las prácticas de programación con la librería que usan "graphlab" la cual no se relaciona my bien con windows.
교육 기관: Tom v S•
2018년 6월 5일
In and of itself, the content of the course was pretty good. However, after working through 2 deep dive AI courses of each 6 months, obviously this particular course was not much of a challenge.
교육 기관: Diego A•
2016년 10월 24일
The Professors and the lectures were excellent. Homeworks are way to easy. Would like to use open source tools like pandas and sci-kit learn instead of proprietary tools like graphlab.
교육 기관: Neelam•
2020년 5월 18일
I cannot download all the software needed specifically Turicreate, despite the provided link it shows never-ending errors, after a week of trying I had to give up the course since.
교육 기관: Kenny J•
2020년 5월 21일
This course needs to be updated. It's hard to follow the notebooks since the lecture was on GraphLab, and some of the explanations were not elaborate enough, especially Week 6.
교육 기관: Zein S•
2018년 1월 17일
I like more to work with sklearn rather than GraphLab..
Actually many recommended this course to me, and I expect more excitement in the next courses in this specialization
교육 기관: Jonathan O•
2021년 4월 14일
Pros : You will get a great fundamental conceptual understanding of basic ML concepts and practical implementations.
Cons: Using Turicreate over sci-kit learn and tensorflow
교육 기관: Eric.Wang•
2016년 3월 10일
I don't like this course , because the homework can not match the lesson. I can not got more messages to completed the homework.
So I will Unregister this courser , Thanks.
교육 기관: Morteza M•
2016년 11월 20일
The only reason that I am giving 3 star is the design of the quizzes for each week. The readings are too long and the content of the quiz sometimes gets you frustrated!
교육 기관: Chih W L•
2016년 9월 19일
Professors are very good , i am really enjoy in this class, but no further discussion about implementing ML algorithm, just call the API to handle the sort of data.
교육 기관: Zhongyi T•
2016년 3월 9일
The lectures are fine. However the content is way too easy. Another course on Coursera `Mining Massive DataSets` is much better, in the depth and horizon.
교육 기관: Fabio•
2018년 10월 7일
App needed to complete assignments ceased to function early on - forum / admin did not help to find solution. Otherwise good intro to get started with ML.
교육 기관: Deleted A•
2016년 6월 5일
Generally ok. Towards the end of the course, the lectures could have been a bit more in depth - or provide students with a more in depth reading list.