A bit tough, but well laid and well explained.Overall the entire specialization was very good. However it misses in depth theory . But overall a very good course with practical applications
A very nice course and specialization as well. Offers so much to learn even for those who are pure machine learners.Instructors were fantastic.Assignments were challenging but excellent.
par Kamlesh C•
par Jeff D•
par Rorisang S•
Excellent. The first programming assignment is definitely challenging and long! The other two are shorter but are still exciting enough as they show the actual application of AI in medicine. I loved the course. Just a formality not to give 5 stars
par Carlo F•
Many interesting things are teached in this course, such as interpreting ML and DL models. Yet i don't feel the exams and the notebooks really make you ready to use these skills on the field, it's just an introduction. 4 stars rating.
par Kevin N•
The assignment for the first week was out of scope for the course in my opinion. It was too much focused on a good handling of pandas which is rather difficult for people who are not experts in pandas
par Gaetano M•
Outstanding hands-on machine and deep learning eHealth projects with real-life applications.
I wish I could download the support material for this course
par Amit P•
Weeks 2 and 3 were excellent! The week 1 programming assignment was tedious and even the quiz was a repeat from course 2.
par Neel K•
The assignment was very heavy. It was better to have some practical case studies to understand the implementation steps.
par Sherif M•
Please check out my comprehensive review on LinkedIn. Thank you!.
par Asif S M•
Unable to use it on real datasets.
par Kiran U K•
Unique awesome course
par bala K K•
par Mark L•
I thought the course was well-taught and interesting, but I felt that it was more of an Introduction -- Here are some things you can do with AI and ML techniques in the context of Medicient -- rather than a detailed explanation of how the techniques work and how to use them in practice, so probably more valuable for Medical professionals than AI/ML specialists. It would be great to have some follow-on courses that get deeper into the technical details; the Coursera Deep Learning Specialization is a great example.
In general, the programming exercises were valuable and engaging, but I have a particular gripe with the grading: In some cases, I had to spent quite a bit of time making micro-adjustments to my program text to satisfy the rather picky criteria of the grader, including one case were I had to remove spaces between tokens in an expression in order to pass. I really think the criterion for grading should be correctness of results rather than conformance of the program text.
par Adam M•
The lecture videos are great, but the Jupyter labs are entirely convoluted.
par Jaime A C B•
It was not as explained and clear as previous ones
par Roberto S•
Many concepts need further explanations as Random Forest Clasificator.
Programming assignments have many easy tasks but other very difficult as creating a class the assignment of week 1.
In general programing assignments require much more time than shown, between 10 to 15h for those not familiarized with game theory. This is a bit frustrating.
par Edoardo S•