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Opiniones y comentarios de aprendices correspondientes a AI For Medical Treatment por parte de deeplearning.ai

4.7
estrellas
400 calificaciones
86 reseña

Acerca del Curso

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Medical treatment may impact patients differently based on their existing health conditions. In this third course, you’ll recommend treatments more suited to individual patients using data from randomized control trials. In the second week, you’ll apply machine learning interpretation methods to explain the decision-making of complex machine learning models. Finally, you’ll use natural language entity extraction and question-answering methods to automate the task of labeling medical datasets. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend that you take the Deep Learning Specialization....

Principales reseñas

AA
23 de jun. de 2020

A bit tough, but well laid and well explained.Overall the entire specialization was very good. However it misses in depth theory . But overall a very good course with practical applications

RB
12 de jun. de 2020

A very nice course and specialization as well. Offers so much to learn even for those who are pure machine learners.Instructors were fantastic.Assignments were challenging but excellent.

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51 - 75 de 85 revisiones para AI For Medical Treatment

por Arturo P

5 de jun. de 2020

Wonderful course, amazing specialization, thank you so much deeplearning.ai!

por PRATIk S

15 de jun. de 2020

Must course for all data scientist working for US Healthcare companies

por Jingying W

30 de jun. de 2020

In general great, but more exercises should be better

por AnnMargaret T

4 de jul. de 2020

Invaluable applications of AI for medical treatment!

por Taiki H

22 de jun. de 2020

Grad Cam was my favorite tool for ML interpretation.

por Meet G

14 de jul. de 2020

The most interesting course of the specialization.

por Subtain M

28 de jun. de 2020

Model interpretations are clearing explained

por Karl J

10 de oct. de 2020

Great culmination to the specialization.

por Terron S A

31 de may. de 2020

cant complete due inexperiencewith c++

por Muhammad F b M R

17 de jun. de 2020

Amazing course with great tutor.

por rudraps

19 de jul. de 2020

Very good course. thank you.

por Zhendong S

2 de jul. de 2020

Very good course overall!

por Sujata P (

29 de sep. de 2020

course is good useful

por Rameez A

19 de jul. de 2020

Amazing courses

por Ignacio M S

9 de jul. de 2020

Amazing course

por Arif R

14 de sep. de 2020

Excellent !!!

por Ricardo A F S

13 de ago. de 2020

Great course

por Kamlesh C

25 de jun. de 2020

Thank you

por Jeff L J D

9 de nov. de 2020

Thanks

por Rorisang S

25 de nov. de 2020

Excellent. The first programming assignment is definitely challenging and long! The other two are shorter but are still exciting enough as they show the actual application of AI in medicine. I loved the course. Just a formality not to give 5 stars

por Carlo F

28 de dic. de 2020

Many interesting things are teached in this course, such as interpreting ML and DL models. Yet i don't feel the exams and the notebooks really make you ready to use these skills on the field, it's just an introduction. 4 stars rating.

por Kevin N

8 de dic. de 2020

The assignment for the first week was out of scope for the course in my opinion. It was too much focused on a good handling of pandas which is rather difficult for people who are not experts in pandas

por Amit P

6 de jun. de 2020

Weeks 2 and 3 were excellent! The week 1 programming assignment was tedious and even the quiz was a repeat from course 2.

por Neel K

13 de nov. de 2020

The assignment was very heavy. It was better to have some practical case studies to understand the implementation steps.

por Gaetano M

7 de feb. de 2021

Outstanding hands-on machine and deep learning eHealth projects with real-life applications.