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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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201 - AI for Medical Diagnosis 的 225 個評論(共 375 個)

創建者 Zolnamar D

2021年3月6日

創建者 Luca N

2020年4月20日

創建者 Rony R

2021年1月12日

創建者 Khaldoon A

2020年6月9日

創建者 Shubhram P

2020年5月11日

創建者 ‍최수호(학부학생/의과대학 의

2021年5月5日

創建者 Mario G

2020年7月29日

創建者 Diana C

2020年11月16日

創建者 Carlos M C F

2020年6月7日

創建者 Oyenola P

2022年10月14日

創建者 Peter

2020年7月10日

創建者 Kenneth N

2022年6月27日

創建者 Ruochen L

2021年4月20日

創建者 Iasonas C

2021年11月16日

創建者 Lucky R

2020年4月22日

創建者 Aleksander Z

2021年4月14日

創建者 Merajul I S

2020年10月9日

創建者 Muhammad A I

2020年5月7日

創建者 Leon L

2021年12月27日

創建者 Douglas S

2020年6月17日

創建者 Jingying W

2020年5月31日

創建者 shyam s

2020年5月6日

創建者 Pham V V

2021年1月24日

創建者 Muhammad U U

2020年9月20日

創建者 Arturo P

2020年5月16日