Good course but the language needs to be simpler. Sometimes simple facts are complicated with the use of high pedigree words that don't really add much to conveying the overall message.

I was hoping to learn with hands on assignments but unfortunately it was mostly lectures.

Great speakers, fantastic idea to have two. Also happy that they updated the course as new tech was developed. However links to articles require subscription, which limits use.

The course is very specific and relatably tough to follow. But it gives all the baseline of Machine Learning and its implication in health care. Thank you coursera for the course

This is the best contents availbale for the new commers to enhance their experties in AI healthcare.

Difficult concepts explained in simple terms and easy to understand. Thank you so much!

The best online course ever! With the greatest and kindest instructors in the world!

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.

Great Course. A new Subject for me. It took me a great effort because not only was the special vocabulary but the subjects up-dated to this millenium in which we are living. Great for Stanford Professional and highly professiional and scientific lecture personnel that took care of the curriculum in this Introduction of Machine Learning for Healthcare. As I wrote above, I think it took me very much effort to review the contents of some weeks and back to and learned from videos in order to be prepared for the Final Assesment. Many thanks for your valuable support and time devoted from you to get the goals , so many studens including me. I do hope to go ahead with the new courses and be able to accomplish the AI Specialization Certificate . Thanks again to all of you and Specially Stanford University Center for Heal Education-Medicine for giving me this great opportunity.

Great High level overview of essentials for Machine learning in Healthcare for anyone who is looking to have a complete(ish) view of various types of clinical data, and how it fits into the ML pipeline, to produce actionable health actions. Depending on "what is the healthcare research question" you are trying to solve and the tools you have, the dataset you obtain, and the degree of tolerance and performance you need (depending on the final user) this course is a nice introduction to see where one needs a deeper dive, and what types of codes are likely to be needed. to solve the problem.

Je tiens à remercier chaleureusement l'équipe pédagogique et tous ceux qui ont contribué à la création et à la mise à disposition de ce cours de haute qualité. Votre engagement envers l'éducation et la diffusion des connaissances est véritablement louable. Cette formation a eu un impact significatif sur ma carrière professionnelle et mes perspectives d'avenir dans le domaine de la santé et de l'apprentissage automatique. Je suis reconnaissant envers Coursera pour avoir rendu cette opportunité d'apprentissage accessible et immersive.

After completing the "Fundamental Machine Learning for Healthcare" certificate, I can confidently say that it was an incredibly informative and practical program. The course provided a comprehensive understanding of the key concepts and techniques of machine learning specifically tailored to the healthcare industry. The instructors did an excellent job of breaking down complex topics into easily digestible modules, and the hands-on exercises and real-world case studies were invaluable in solidifying my knowledge

Great introductory course for Machine Learning in Healthcare. The professors did an excellent job making the content digestible, emphasizing big concepts multiple times throughout the course and giving plenty of examples. Would highly recommend this course to everyone entering the healthcare field since AI will only become more integrated into healthcare.

Terrific course, one of my favorite in Coursera. Instructors communicated clearly and efficiently. Topics were logically organized. Content was relevant and compelling. Given the level of detail and complexity of the topic, I would recommend watching the lectures again or studying the study guides carefully to solidify learning.

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.

Excellent course! It is a perfect course for grasping the key concepts and fundamentals required to begin with ML projects in clinical settings. It was very informative and built a very good foundation for understanding ML things to consider before, during, and after starting an ML project.

although the level of detail was too much for someone without an appropriate backround (me as an MD), it was by far the best course so far! The energy, the content, the engagement, the interaction between them and with the learners, the jokes, it was a blast! Bring them back :)

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.

This course will give you the complete information that is required by a beginner. Best if you want help to start working on ML project related to healthcare in beginning of your career.

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.

I really enjoyed learning from this course . Helped me increasing my knowledge and clearing my ambiguities and misconceptions regarding the AI in healthcare.