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

4.7
1,643 個評分
357 條評論

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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301 - AI for Medical Diagnosis 的 325 個評論(共 357 個)

創建者 Галинская Т В

2020年5月10日

There were a lot of problems when I was completing the programming task in week 3. I Think that many points are not sufficiently explained.

創建者 Quoc D N

2021年3月21日

The lectures are great, but the labs could use more practicing/exercises than just reading a notebook already filled with code that works.

創建者 Nada S

2020年6月7日

So nice and complete. May be some programming assignments need to be more clearer or explained, but over all; great course. Thank you.

創建者 Kabakov B

2020年9月8日

It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.

創建者 Praneet S

2020年5月23日

last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned

創建者 Taiki H

2020年5月13日

More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!

創建者 Milan G

2021年5月25日

Learned a lot from the course, especially the assignments that helped to translate knowledge into action.

創建者 Leon C

2020年5月16日

Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.

創建者 Aldemár F V

2020年10月16日

Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.

創建者 Faisal R

2020年5月6日

great course But not For the Pharmacy Student because You have to Know The Code Knowledge

創建者 TheBlue P

2020年7月21日

The last coding exercise is quite lengthy and difficult, and the videos are too short

創建者 MD M R S

2020年5月3日

Liked this course. But some topics were not explained well. Like ROC curve

創建者 Alex K

2020年12月22日

Great course, I wished some content could have been covered more in depth

創建者 Jay

2020年6月28日

Best course for AI for medical diagnosis please do the pre-requisite.

創建者 Abbas A K

2020年7月1日

it was better to have more detail of loss functions for segmentation

創建者 Srinadh R B

2020年7月5日

As a case study for deep learning, this course helps us a lot.

創建者 Josh B

2020年12月16日

They started diving deeper towards the end of the course.

創建者 Zabirul i

2020年7月25日

Need to more clarify the notebook content in videos.

創建者 Amir V

2021年8月26日

G​ood & practical, but could've been more advanced

創建者 Sakshat R

2020年5月5日

Really nice and well-explained

創建者 Michel F

2020年6月7日

Last assignment was insane.

創建者 Huy P

2020年7月5日

The problem is quite easy

創建者 Mimi C

2020年4月25日

The course is too basic.

創建者 Muntaha S

2020年11月10日

excellent course

創建者 김영석

2021年7月18日

goog think