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

4.7
1,779 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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176 - AI for Medical Diagnosis 的 200 個評論(共 375 個)

創建者 Hoang P L

2020年10月6日

創建者 Jose A Z P

2020年6月11日

創建者 Pankaj P

2020年4月23日

創建者 Siddharth S

2020年5月23日

創建者 Zhassulan S

2020年4月16日

創建者 Jyotin P

2020年8月18日

創建者 saleena s

2020年7月25日

創建者 Khushbu G

2020年6月20日

創建者 SIVA H S

2020年5月25日

創建者 zios s

2021年3月27日

創建者 Paola C T

2020年8月4日

創建者 Rahul R

2020年9月17日

創建者 Victor I

2020年6月11日

創建者 Archibrata C

2020年7月21日

創建者 David G

2022年10月1日

創建者 Chadaporn K

2022年7月16日

創建者 Lakshmi T

2021年8月20日

創建者 H.B. G

2020年9月28日

創建者 Mayank g

2020年8月15日

創建者 Deepak K

2020年7月6日

創建者 Brenda Z

2021年2月1日

創建者 Muhammad A

2020年4月22日

創建者 MD R A

2020年7月27日

創建者 Sachini C

2021年3月19日

創建者 Mohan

2020年6月27日