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

Very in depth course that covers manipulation of multi-dimensional data. A little copy paste but that seems to be the par on Coursera. Very glad I took the course.

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

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.

The course content was great and all theoretical concepts were clearly explained but, the instructions in the programming assignments were a bit unclear.

Getting the right code for week3 assignment was really time-consuming - still have not found what was the error giving me the standardize function

Nice course to learn basics of machine learning as well as get your hands dirty with application of artificial intelligence to medical diagnosis.

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

the codes do not work in google colab, they can only work in the environment on coursera, which is bad, but otherwise it was a good training

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.

The lectures are great, but the labs could use more practicing/exercises than just reading a notebook already filled with code that works.

So nice and complete. May be some programming assignments need to be more clearer or explained, but over all; great course. Thank you.

It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.

last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned

More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!

Learned a lot from the course, especially the assignments that helped to translate knowledge into action.

Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.

Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.

great course But not For the Pharmacy Student because You have to Know The Code Knowledge

The last coding exercise is quite lengthy and difficult, and the videos are too short

Liked this course. But some topics were not explained well. Like ROC curve

Great course, I wished some content could have been covered more in depth

Very great. It remains very theoretical except for laboratory sessions.

Best course for AI for medical diagnosis please do the pre-requisite.

it was better to have more detail of loss functions for segmentation