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學生對 deeplearning.ai 提供的 AI for Medical Diagnosis 的評價和反饋

4.7
1,785 個評分

課程概述

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....

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RK

2020年7月2日

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

2020年5月26日

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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1 - AI for Medical Diagnosis 的 25 個評論(共 375 個)

創建者 Surya P S

2020年4月20日

創建者 Roberto C

2020年4月22日

創建者 Mafalda M

2020年4月25日

創建者 Jesus F B

2020年4月19日

創建者 Robin G

2020年5月5日

創建者 Vitor R

2020年5月13日

創建者 kpb

2022年1月1日

創建者 Zeynep T

2020年7月15日

創建者 Yashveer S

2020年4月22日

創建者 Yogesh G

2020年4月21日

創建者 Juan I C

2020年5月3日

創建者 John J

2020年4月20日

創建者 Luka

2020年7月6日

創建者 Abhijeet V N

2020年5月6日

創建者 Anindo S

2020年4月18日

創建者 Dadhichi T

2020年4月18日

創建者 César S

2020年5月25日

創建者 Zeeshan A

2020年6月29日

創建者 Rahul N

2020年5月3日

創建者 Eathiraj L

2020年6月6日

創建者 Felipe K

2020年4月27日

創建者 Al C

2020年6月12日

創建者 Binit K P

2020年5月23日

創建者 Alexander D

2020年5月20日

創建者 MD N I

2020年5月9日