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

4.7
1,784 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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76 - AI for Medical Diagnosis 的 100 個評論(共 375 個)

創建者 Sagar P

2020年4月27日

創建者 VIJAY K V

2020年9月18日

創建者 Yashovardhan S

2020年7月26日

創建者 Adam M

2020年12月24日

創建者 D J R K

2020年10月21日

創建者 Marwa A E

2020年5月28日

創建者 André C A

2021年2月22日

創建者 Lakshmana P

2021年3月3日

創建者 Wasim A

2020年5月13日

創建者 Brianna R

2020年5月21日

創建者 Nitin

2020年5月28日

創建者 Prashant M

2020年6月29日

創建者 Vincent L

2020年9月14日

創建者 MUSTAFA M T

2020年5月7日

創建者 Sawrup K

2020年6月28日

創建者 Jay U

2020年4月24日

創建者 Pramit D

2021年12月16日

創建者 Mohamed Q

2020年6月11日

創建者 Haroon K

2020年8月19日

創建者 Valijon N

2020年8月7日

創建者 Christophe K

2021年2月6日

創建者 Ajay K

2020年6月6日

創建者 ABIR E

2021年4月10日

創建者 Le N T

2020年5月11日

創建者 Jay H

2021年8月24日