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学生对 DeepLearning.AI 提供的 AI for Medical Diagnosis 的评价和反馈

4.7
2,039 个评分

课程概述

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....

热门审阅

KH

May 26, 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!

RR

Nov 29, 2024

The instructor is excellent. I knocked it down a star for the finicky auto-grader. Would love to have had a fourth week that showed how to re-train a previously trained system.

筛选依据:

251 - AI for Medical Diagnosis 的 275 个评论(共 422 个)

创建者 Leon L

Dec 26, 2021

Great course, very informative!

创建者 Douglas S

Jun 17, 2020

Ótimo conteúdo. ótimo material.

创建者 Jingying W

May 31, 2020

nicely organized and explained!

创建者 shyam s

May 6, 2020

Crisp and relevant explanations

创建者 John M

Apr 14, 2023

It was a fantastic experience.

创建者 Pham V V

Jan 23, 2021

Excellent course! Very useful!

创建者 Muhammad U U

Sep 20, 2020

Very good course for beginners

创建者 Arturo P

May 16, 2020

Great course! learned a lot <3

创建者 西川 尚之

May 5, 2020

Great! We just have to learn!

创建者 Sayed H

Aug 8, 2020

Excellent course taught well

创建者 Rudra P

Jul 19, 2020

Very good course. thank you.

创建者 Hitesh D

May 3, 2021

Good Learning experience!!!

创建者 Elena G

Jan 28, 2021

Great course! Many thanks!

创建者 rachit s

May 8, 2020

Very well explained course.

创建者 Brototo D

Jan 18, 2021

Sweet course! very helpful

创建者 n a

Nov 6, 2020

Excellent!!!!

thanks a lot.

创建者 Mike S

Oct 20, 2020

Challenging and aswesome!

创建者 Manikant R

Jul 31, 2020

Very interesting projects

创建者 Anggi

Aug 5, 2020

Learn many skill in here

创建者 Rodica A

Jul 15, 2020

Some Courses are good.

创建者 Radhouane B

Feb 27, 2023

Very challenging one!

创建者 William H

Mar 12, 2022

challenging, but fun.

创建者 Kunal S

Aug 15, 2021

Exceptional course!!!

创建者 Dennis L

Jan 5, 2024

Using TF1.0 outdated

创建者 Lee, B

Apr 28, 2020

Thank you very much.