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
18 août 2019
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.
par Christophe M•
8 nov. 2015
Very didatic approach to machine learning. Easy access and still powerful technique to understand how it works.
par Bhaargavi A•
8 mai 2018
Good Course. Teachers have taught it well and the jupyter notebooks are good and give a good deal of practise.
par Soham K•
28 mai 2020
Overall it has been a great experience. But in my opinion, the course videos should be updated to TuriCreate.
par Kuldeep K•
11 mai 2020
Kindly change the GraphLab package system, the majority of the compiler doesn't support this.
Else it was good
par Azhar B T•
16 sept. 2019
the course is good but rely on graphlab and lack of hands on with python is the reason i cannot give 5 stars.
par Philip L•
12 nov. 2016
Some quiz questions' answers are incorrect and instructors need to update the quit to reflect correct answers
par Islam M•
19 avr. 2016
-great introduction .
-go through a lot of exciting topics.
-but the implementation part is boring something.
par M.sakif m•
16 nov. 2015
Interesting class, but should have used open source python libraries instead of restricted license libraries.
par mohd s•
15 sept. 2019
Amazing they guide me help .Special sir working on project .It clear my concept with the real world example.
par Vasudev V•
19 févr. 2017
It would be great if you could intersperse theory and practical sessions. Otherwise, a very useful course...
par Mohit P•
12 mars 2019
This course is a great starting point who has no earlier experience of ML. . Cheers to the course makers!!!
par Yuting S•
26 févr. 2019
The only problem is that I can't review the course materials after completing the course.
par C K S•
28 mai 2018
Course was nice and especially special thanks to both the faculty's who make us to understand the course.
par Benson C•
4 sept. 2017
Interesting, I never used graphlab before. It would be better if this course went through algorithm deeper.
par Javier M•
17 juil. 2017
Great introduction to the topic. I think the juniper notebook is still buggy. Its stability can be improved
par Sergio A M•
14 mai 2016
It is a great introduction but this could be done by adding a week more in each of the following courses.
par Veera R•
11 mars 2016
Case study approach followed in this courser is very use full and helps to understand the methods better.
par Clotilde D•
5 janv. 2016
good overview, a little bit hard regarding the deep learning course, that would require more explanations
par Hitesh D•
1 oct. 2019
The course has helped me understand basic of Machine learning and has created interest for me.
par Pushpak T•
13 mars 2016
Gives a high-level understanding of machine learning concepts and focuses a lot on its application part.
par Rajkumar D•
2 mars 2016
Good Start up with case study approach to just understand what we gonna learn in further specialization.
2 mai 2018
The course from coursera was well delivered. Albeit, their seems to be too much dependency on graphlab.
par Mohit A•
12 nov. 2019
Great learning experience! We should have option of videos with exercises using Pandas & scikit learn.
par Michele P•
5 sept. 2017
Good introduction, although the implementation exercises use mainly GraphLab which is not open-source
par Santosh K W•
16 févr. 2016
Useful course. Covered good amount of usecases for Machine learning concepts with handson experience.