Opiniones y comentarios de aprendices correspondientes a Fundamentals of Machine Learning for Healthcare por parte de Universidad de Stanford
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Principales reseñas
AJ
8 de sep. de 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.
LA
1 de abr. de 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,
26 - 50 de 61 revisiones para Fundamentals of Machine Learning for Healthcare
por Jau-Jie Y
•12 de jul. de 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.
por Jonathan W
•2 de feb. de 2022
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.
por Gonzalo R
•19 de ene. de 2022
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.
por Sandro M
•20 de ago. de 2021
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.
por María F R E
•16 de ene. de 2022
Although it is said is just basic stuff, it changed my way of analyzing the papers of AI in medicine
por Chetan D
•4 de mar. de 2021
Excellent introductory course to understand Machine Learning in the context of Healthcare delivery
por Mike W
•4 de dic. de 2020
great overview to explain ML to all members of a team developing healthcare applications of AI
por Kushal A S
•17 de oct. de 2020
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
por Kent H
•12 de ene. de 2021
Great course. Thank you so much for the time and effort putting it together.
por Raimundo N
•28 de mar. de 2022
So grateful for this learning journey with the prestigious Stanford!
por NADY E B
•6 de dic. de 2020
A bit too technical yet very interesting. Excellent course. Thanks!
por BALU P
•19 de jul. de 2021
great instructors and all concepts explained in very easy terms
por blue a
•20 de dic. de 2020
Tremendous learning and outstanding presentation of concepts.
por Ann V G
•3 de oct. de 2020
An excellent introduction. Concise. Helpful citations.
por Vera S
•20 de oct. de 2021
The instructors are both so knowledgeable and adorable!
por Anton L
•21 de oct. de 2020
Outstanding team performance by the two lecturers
por Lori S
•14 de mar. de 2021
"a labor of love' indeed; wonderful ! thank you!
por Vincent C G
•10 de nov. de 2021
Amazing Good instructors, i really enjoyed them
por Kabakov B
•6 de oct. de 2020
101 to ML. Like Ng's book ML Yearning.
por Jiameng L
•26 de sep. de 2021
Super helpful and engaging course
por Vasilis V
•25 de ene. de 2021
very elaborate and well organized
por Mike S
•10 de feb. de 2022
Concise and to the Point!!!
por Faizy H
•27 de mar. de 2022
very engaging!
por Sauranshu P
•22 de jul. de 2021
Good
por Ernesto R
•3 de may. de 2021
Good
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