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Avis et commentaires pour d'étudiants pour Fundamentals of Machine Learning for Healthcare par Université de Stanford

173 évaluations
50 avis

À propos du cours

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies. Co-author: Geoffrey Angus Contributing Editors: Mars Huang Jin Long Shannon Crawford Oge Marques The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content....

Meilleurs avis

8 sept. 2020

Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.

1 avr. 2021

This was a great course, the presenters really gave a clear view about the differences which could happen when working with health related data set. Very well done,

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1 - 25 sur 52 Avis pour Fundamentals of Machine Learning for Healthcare

par Jun W T

26 sept. 2020

Matthew and Serena are a great pair to teach the basics of Machine Learning. As a total beginner, this was well-paced and helped me to gain knowledge about the topic. Truly one of the best courses I've taken so far.

par Luigi S

27 sept. 2020

Interesting and well crafted, it is mostly at an introductory level, but accurate and with many details regarding how to apply ML to healthcare. Worth to follow.

par sathiakar c

5 nov. 2020

absolutely delightful course and you can really tell that it was a labour of love for the course presenters. Incredible how they were able to give a working knowledge of the various complex machine learning tools without going into the maths, which I as a doctor would not have understood anyway. Much appreciated!!!! But a good handle on statistics is probably needed which thankfully i possess

par Arihant J

9 sept. 2020

Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.

par Erik R

5 oct. 2020

Best course I could find on this topic, really a must for those willing to learn more about the basic principles of ML in healthcare and radiology

par Tajan K

15 déc. 2020

Excellent course in Machine Learning for Healthcare! The instructors made the course fun, while going into various topics in depth. They covered topics such as the techniques and methods used in ML, with a view to building practical applications. They also described the pros, cons, limitations and risks of each technique. They discussed the optimization techniques for achieving better results. The other part that I enjoyed was that they brought up such topics about the team composition, and how critical it is to building a model that is more accurate in prediction, as well as the importance of ethics in AI. Thoroughly enjoyed the course.

par Muhammad K M

8 oct. 2020

An excellent course for professionals with healthcare background, specially for those who want to test the water before diving deep into AI in Healthcare.

par Derek E

8 nov. 2020

Not really a course for beginners looking to understand ML. Overall, the course provides a good overview of ML in healthcare, but when it comes to actually explaining ML, it is more of a quick review. Lectures have far too much unexplained jargon and tend to talk around or gloss over key concepts. Lectures in weeks 2-4 were oddly repetitive and lacked a logical step by step flow. Instructors also read the script too fast at times. If they slowed down, spent an extra minute or two to explain the underlying ideas, it would have made a big difference. Correcting errors in the slides and providing more coursework would help too. For beginners looking for better non-technical explanations of AI/ML I'd highly recommend looking up Professors Andrew Ng and Melanie Mitchell.

par Ionuț-Amin P

9 janv. 2021

What I liked the most about this course is the sheer enthuziasm of the instructors. They definitely enjoy what they are doing and you can feel how much they tried to develop this course in order to spread the knowledge.

This course gives you a basic understanding of machine learning and is of tremeandous help for beginners, and also for domain expers that seek to broaden their view about real world applications (mainly in Healthcare).

The course is not very technical, and since it doesn't get into much details, some high-tier concepts might be harder to understand or remember if you have no prior experience to the field.

Summing up, this is a wonderful course that I highly recommend to anybody looking to start their journey in machine learning!

par Yi S

31 déc. 2020

It would be amazing to go one level deeper on the sample/emerging/leading architectures using cases to illustrate how each concept works. However please take this piece of advice with a grain of salt as I am not a computer major thus lacking basic understanding of most concepts. I am immensely interested in how machine learning has been, is being, should be, can be applied to healthcare for value creation.

Excellent materials. Thank you.

par Hmei D

13 nov. 2020

Excellent course with comprehensive fundamentals of machine learning in the healthcare field by instructor Matthew and Serena. It is very informative and all documents are well organized. It is my great honor and pleasure to take the course and learn all machine learning applications in healthcare. Thank instructors for the wonderful teaching. Would recommend it to others.

par Judith L

27 mai 2021

As a healthcare professional, Machine Learning always seemed like unchartered territory that was inaccessible and difficult to understand. This was an excellent course that brought me through the ABCs of Machine Learning and equipped me with the language to consider more possibilities in healthcare innovation, beyond what I know. Thank you!

par Victor A

15 mars 2021

Great course teaching concepts timely for the period we're currently in. It establishes a foundational basis for Machine Learning professionals and Healthcare experts to find a common ground as to the 'what', 'how', 'why', 'where', and 'when' questions regarding AI integration with healthcare.

par Susie S

30 mars 2021

Excellent course. Provided the perfect foundation of knowledge for working in academic research and healthcare. The course organization, short video format and clean graphics all make the content very digestible. Both instructors were fantastic.

par Rizki I A

2 févr. 2021

This course really great! They teach me from basic and for me, who doesn't know anything about machine learning, this course is easy to understand and to follow. It gives me new insight in the machine learning field, especially in healthcare.

par Philipe R L

19 nov. 2020

This course is great. Awesome teachers, and with incredible diction. The lessons were fluid, with a step-by-step information presentation.

COURSERA is an amazing web platform for dissiminating information and knowledge worldwide.

par Murugesh N

2 janv. 2021

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.

par Lesaffre A

1 avr. 2021

This was a great course, the presenters really gave a clear view about the differences which could happen when working with health related data set. Very well done,

par Gain M

12 nov. 2020

Completing this course has given me a solid foundation and confidence to engage at a deeper level with AIML in health, both as a student and exponent thereof.

par Daria B

2 janv. 2021

Top quality teaching from Matthew and Serena, thank you! Engaging throughout the whole 7 weeks, best if you have some previous knowledge in ML.

par Konstantin K

6 févr. 2021

The course was inspiring and useful for a future career! Congratulations to Professor Matthew Lungren and Assistant Professor Serena Yeung! :)

par Steven R

9 oct. 2020

Outstanding teaching and pacing by both professors and an excellent generalized instruction of ML for healthcare.

par Brenton K

28 avr. 2021


par Dimosthenis D G

17 mai 2021

Great course!

par Jau-Jie Y

12 juil. 2021

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.