18 août 2019
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.
16 oct. 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
par Aman S•
14 juin 2018
The worst thing about this course is graphlab. Trying to run it since last 10 days with the help of every available online resources, but in vain. There are many flaws in graphlab. I tried a hundred times to view images in graphlab, but in vain.
par Juarez B•
12 janv. 2017
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.
par Mohit S S•
7 août 2018
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.
par Tarek M s•
5 nov. 2017
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 .
par Piyush K P•
24 oct. 2016
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.
par Jerome B•
19 déc. 2017
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.
par Gregory T•
30 oct. 2016
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.
par Brandon P•
10 mars 2018
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.
par Mohammad A•
22 juil. 2019
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
par Ivan P•
6 mai 2016
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.
par chris s•
27 janv. 2016
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.
par Nishant K•
31 oct. 2020
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.
par AHMED E A•
23 juil. 2020
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...
par Luis F A C•
5 déc. 2020
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.
par Tom v S•
5 juin 2018
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.
par Diego A•
24 oct. 2016
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.
18 mai 2020
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.
par Kenny J•
21 mai 2020
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.
par Zein S•
17 janv. 2018
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
par Jonathan O•
14 avr. 2021
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
10 mars 2016
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.
par Cranchian P•
22 mars 2022
There are still many errors and corrections to be made in practical application part and reading parts.
The conversion from graphlab to turicreate is not complete at all.
par Morteza M•
20 nov. 2016
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!
par Chih W L•
19 sept. 2016
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.
par Zhongyi T•
9 mars 2016
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.