So grateful for this learning journey with the prestigious Stanford!

it is a really good course for learning ML but some of the videos are a bit hard to fully understand

The course is very good. Great content, very well structured and with key insights. The instructors are great, very clear explanations. It covers both fundamentals of ML as well as principles of its application to healthcare. I have background already in ML and it helped me reinforce concepts as well as learn an overall point of view of health related benefits, opportunities, use cases, challenges and risks. Very valuable information for an introductory course.

However, for people completely new to ML, I think it could be challenging to follow all the concepts that are presented. Coding is not required nor deep math; in fact, instructors do a great work trying to abstract the details in order to explain the concepts. But in ML, some of the topics require more depth and background in order to be able to fully grasp the idea. So if this is your case, it could be good to get some extra content from elsewhere on the basics before or during the course.

I would like to thanks to both instructor, Professor Matthew Lungren and Professor Serena Yeung. They explain fairly clear of some concept, and it help me much. I mistake some ideal of cross entropy, loss function, etc.

And how to solve the underfitting/overfitting section is very useful.

Special thanks to both teachers.

Through out the course real world examples are shared to provide context. The recommended reading provides both broader and deeper insight. As a non physician I found the ethics papers really interesting read and helped provide me with greater perspective of some of the challenges in healthcare.

The course is excellent. I really enjoyed the enthusiasm of the instructors. The most important topics and concepts of machine learning are covered in this course. Thank you Standford Online , thank you Coursera for your positive impact on the world.

Very interesting introductory course about ML in Healthcare, with a good introduction in the statistical key concepts to understand the way hoy ML works and things to care about to reduce errors and biases.

Conteúdo ótimo! Traz uma boa base de conceitos e aplicações para qualquer profissional que queira entender as aplicações de machine learning na área de saúde.

Although it is said is just basic stuff, it changed my way of analyzing the papers of AI in medicine

Excellent introductory course to understand Machine Learning in the context of Healthcare delivery

great overview to explain ML to all members of a team developing healthcare applications of AI

Nicely Framed and Executed in a simple language so anyone can catch up earliest.

Great course, really pinned down the essentials needed to continue my ML path.

Great course. Thank you so much for the time and effort putting it together.

The most precise and concise lecture ever in regading machine learning!

One of the best courses I've taken in this subject area. Loved it.

A bit too technical yet very interesting. Excellent course. Thanks!

great instructors and all concepts explained in very easy terms

Tremendous learning and outstanding presentation of concepts.

Excellent course; the instructors are particularly good.

An excellent introduction. Concise. Helpful citations.

The instructors are both so knowledgeable and adorable!

Great explanation of Machine Learning in Healthcare.

Outstanding team performance by the two lecturers

"a labor of love' indeed; wonderful ! thank you!