It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field
Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!
By Anditya A•
too little explanation in the exercises,
definitely not for beginner,
this is an expert class course,
even an experienced student, who's familiar with tensorflow might struggle a bit
By Pooja A•
A good course with challenging assignments. However, the assignments could have been a little less self explanatory and should have triggered deeper and more individualistic thinking.
By Stephan P C•
The assignments are extremely simple; mostly just implementing an equation in Python. The rest of the notebooks are basically readings. Maybe give a little more coding practice.
By Ameera A•
The course is build in a way makes it easy to learn. I liked how the assignments had been built and the way of grading quizzes
I think we need a special course for U Net
By Philip J S•
Very abstracted and high level course, no "intution" presented compared to Machine Learning of Andrew Ng; Nevertheless, still a great course for AI in Healthcare
By Chakkarapani V•
This course is a good starter for applications on AI on medicine. I enjoyed. But I felt there can me little more explanations instead of a very short videos.
By Soham T•
The course content was great and all theoretical concepts were clearly explained but, the instructions in the programming assignments were a bit unclear.
By Nikolaos N T•
Getting the right code for week3 assignment was really time-consuming - still have not found what was the error giving me the standardize function
By Ravi P B•
Nice course to learn basics of machine learning as well as get your hands dirty with application of artificial intelligence to medical diagnosis.
By Muhammed A•
it's good, I expected it to be richer, but I guess there's no much development in that area to teach currently, I hope it will evolve with time
By Галинская Т В•
There were a lot of problems when I was completing the programming task in week 3. I Think that many points are not sufficiently explained.
By Quoc D N•
The lectures are great, but the labs could use more practicing/exercises than just reading a notebook already filled with code that works.
By Nada S•
So nice and complete. May be some programming assignments need to be more clearer or explained, but over all; great course. Thank you.
By Kabakov B•
It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.
By Praneet S•
last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned
By Taiki H•
More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!
By Milan G•
Learned a lot from the course, especially the assignments that helped to translate knowledge into action.
By Leon C•
Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.
By Aldemar F V•
Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.
By Faisal R•
great course But not For the Pharmacy Student because You have to Know The Code Knowledge
By TheBlue P•
The last coding exercise is quite lengthy and difficult, and the videos are too short
By MD M R S•
Liked this course. But some topics were not explained well. Like ROC curve
By Alex K•
Great course, I wished some content could have been covered more in depth
Best course for AI for medical diagnosis please do the pre-requisite.
By Abbas A K•
it was better to have more detail of loss functions for segmentation