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Volver a AI for Medical Diagnosis

Opiniones y comentarios de aprendices correspondientes a AI for Medical Diagnosis por parte de deeplearning.ai

4.7
estrellas
1,394 calificaciones
•
305 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. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required! This program will give you practical experience in applying cutting-edge machine learning techniques to concrete problems in modern medicine: - In Course 1, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders. - In Course 2, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis. - In Course 3, you will build a treatment effect predictor, apply model interpretation techniques and use natural language processing to extract information from radiology reports. These courses go beyond the foundations of deep learning to give you insight into the nuances of applying AI to medical use cases. As a learner, you will be set up for success in this program if you are already comfortable with some of the math and coding behind AI algorithms. You don't need to be an AI expert, but a working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential. If you are relatively new to machine learning or neural networks, we recommend that you first take the Deep Learning Specialization, offered by deeplearning.ai and taught by Andrew Ng. The demand for AI practitioners with the skills and knowledge to tackle the biggest issues in modern medicine is growing exponentially. Join us in this specialization and begin your journey toward building the future of healthcare....

Principales reseñas

RK
2 de jul. de 2020

It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field

KH
26 de may. de 2020

Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!

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201 - 225 de 305 revisiones para AI for Medical Diagnosis

por Leopoldo C

•
16 de may. de 2020

Excellent material!

por VIDHYADARSHINI.R

•
30 de ago. de 2020

INTERESTING COURSE

por Ilyess A

•
25 de sep. de 2020

Excellent course.

por PadmaSai Y

•
12 de ago. de 2020

Excellent Session

por Abhishake G

•
5 de ago. de 2020

Excellent course.

por NGUYEN M D

•
31 de may. de 2020

The great course.

por 赵志斌

•
23 de may. de 2020

Very good lesson!

por Franklin V

•
19 de dic. de 2020

Great Course !

por Shruti S

•
29 de sep. de 2020

Great course!!

por DANG M K

•
10 de may. de 2020

Perfect course

por Arif R

•
8 de sep. de 2020

Excellent !!!

por Julio E F

•
21 de jun. de 2020

Great course!

por Franco T

•
21 de abr. de 2020

Great Course!

por Haiyun H

•
1 de oct. de 2020

ありがとうございました。

por Ricardo A F S

•
6 de ago. de 2020

Great course

por Anamitra M

•
19 de jul. de 2020

Great course

por ahmed g m

•
21 de may. de 2020

great course

por 鲁伟

•
12 de may. de 2020

great course

por wonseok k

•
24 de feb. de 2021

fantastic!!

por Keerthi G

•
18 de jul. de 2020

Excellent

por Kamlesh C

•
15 de jun. de 2020

Thankyou

por Santiago G

•
24 de abr. de 2020

Thanks!

por Jeff L J D

•
8 de nov. de 2020

Thanks

por Ajay K

•
25 de abr. de 2020

W

O

R

T

H

por ROBERT A R V T C

•
28 de ago. de 2020

nice

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