Avis et commentaires pour d'étudiants pour Fundamentals of Machine Learning for Healthcare par Université de Stanford
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Meilleurs avis
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.
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,
26 - 50 sur 56 Avis pour Fundamentals of Machine Learning for Healthcare
par Jau-Jie Y
•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.
par Gonzalo R
•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.
par Sandro M
•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.
par María F R E
•Although it is said is just basic stuff, it changed my way of analyzing the papers of AI in medicine
par Chetan D
•Excellent introductory course to understand Machine Learning in the context of Healthcare delivery
par Mike W
•great overview to explain ML to all members of a team developing healthcare applications of AI
par Kushal A S
•Nicely Framed and Executed in a simple language so anyone can catch up earliest.
par Kent H
•Great course. Thank you so much for the time and effort putting it together.
par NADY E B
•A bit too technical yet very interesting. Excellent course. Thanks!
par BALU P
•great instructors and all concepts explained in very easy terms
par blue a
•Tremendous learning and outstanding presentation of concepts.
par Ann V G
•An excellent introduction. Concise. Helpful citations.
par Vera S
•The instructors are both so knowledgeable and adorable!
par Anton L
•Outstanding team performance by the two lecturers
par Lori S
•"a labor of love' indeed; wonderful ! thank you!
par Vincent C G
•Amazing Good instructors, i really enjoyed them
par Kabakov B
•101 to ML. Like Ng's book ML Yearning.
par Jiameng L
•Super helpful and engaging course
par Vasilis V
•very elaborate and well organized
par Sauranshu P
•Good
par Ernesto R
•Good
par Claudia K
•It is really good overview for people coming from a commercial background but it is done in a pretty fast manner such that I need to listened into videos again to appreciate the concept. A lot more work and reading needed to really get myself on board. I suggest a even more basic AI course prior to this module. Otherwise, if you are from Healthcare, the first 2 modules structure overviews (also very good but more US-centric) are good revisions and segway into the later module.
par Sana M
•the quality of videos was great. week 4 till week 7 have some hard to learn problems, it is better to make it more clear and easier to understand.
par Bui M H
•There are maybe too much scenes without slides, if you explain with slides combined, it would be more easy to understand and follow
par Edwin K G
•Would have been helpful to go through all stages of a model development top show how things tie together. Otherwise well done.
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