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

1,643 個評分
357 條評論


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 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....



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


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!


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

創建者 Галинская Т В


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


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


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


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


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


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

創建者 Milan G


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

創建者 Leon C


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

創建者 Aldemár F V


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

創建者 Faisal R


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

創建者 TheBlue P


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

創建者 MD M R S


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

創建者 Alex K


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

創建者 Jay


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

創建者 Abbas A K


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

創建者 Srinadh R B


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

創建者 Josh B


They started diving deeper towards the end of the course.

創建者 Zabirul i


Need to more clarify the notebook content in videos.

創建者 Amir V


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

創建者 Sakshat R


Really nice and well-explained

創建者 Michel F


Last assignment was insane.

創建者 Huy P


The problem is quite easy

創建者 Mimi C


The course is too basic.

創建者 Muntaha S


excellent course

創建者 김영석


goog think