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.
By Taiki H•
Grad Cam was my favorite tool for ML interpretation.
By Meet G•
The most interesting course of the specialization.
By Subtain M•
Model interpretations are clearing explained
By Karl J•
Great culmination to the specialization.
By Terron S A•
cant complete due inexperiencewith c++
By Muhammad F b M R•
Amazing course with great tutor.
Very good course. thank you.
By Zhendong S•
Very good course overall!
By Sujata P (•
course is good useful
By Rameez A D•
By Ignacio M S•
By MD A R A•
By Ricardo A F S•
By Kamlesh C•
By Jeff L J D•
By 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
By 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.
By Neel K•
The assignment was very heavy. It was better to have some practical case studies to understand the implementation steps.
By Sherif M•
Please check out my comprehensive review on LinkedIn. Thank you!.
By Kiran U K•
Unique awesome course
By bala K K•
By Jaime A C B•
It was not as explained and clear as previous ones
By 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.
By Edoardo S•