Chevron Left
Вернуться к AI for Medical Diagnosis

Отзывы учащихся о курсе AI for Medical Diagnosis от партнера

Оценки: 1,706
Рецензии: 366

О курсе

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....

Лучшие рецензии


2 июля 2020 г.

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


26 мая 2020 г.

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!

Фильтр по:

301–325 из 367 отзывов о курсе AI for Medical Diagnosis

автор: Ameera A

11 сент. 2020 г.

The course is build in a way makes it easy to learn. I liked how the assignments had been built and the way of grading quizzes

I think we need a special course for U Net

автор: Amadeus S

3 февр. 2022 г.

Very in depth course that covers manipulation of multi-dimensional data. A little copy paste but that seems to be the par on Coursera. Very glad I took the course.

автор: Philip J S

13 сент. 2020 г.

Very abstracted and high level course, no "intution" presented compared to Machine Learning of Andrew Ng; Nevertheless, still a great course for AI in Healthcare

автор: Chakkarapani V

25 мая 2020 г.

This course is a good starter for applications on AI on medicine. I enjoyed. But I felt there can me little more explanations instead of a very short videos.

автор: Soham T

15 июня 2020 г.

The course content was great and all theoretical concepts were clearly explained but, the instructions in the programming assignments were a bit unclear.

автор: Nikolaos N T

28 мар. 2021 г.

Getting the right code for week3 assignment was really time-consuming - still have not found what was the error giving me the standardize function

автор: Ravi P B

30 мая 2020 г.

Nice course to learn basics of machine learning as well as get your hands dirty with application of artificial intelligence to medical diagnosis.

автор: Muhammed A

6 мая 2020 г.

it's good, I expected it to be richer, but I guess there's no much development in that area to teach currently, I hope it will evolve with time

автор: Галинская Т В

10 мая 2020 г.

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.

автор: Quoc D N

21 мар. 2021 г.

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

автор: Nada S

7 июня 2020 г.

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

автор: Kabakov B

8 сент. 2020 г.

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

автор: Praneet S

23 мая 2020 г.

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

автор: Taiki H

13 мая 2020 г.

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

автор: Milan G

25 мая 2021 г.

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

автор: Leon C

16 мая 2020 г.

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

автор: Aldemár F V

16 окт. 2020 г.

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

автор: Faisal R

6 мая 2020 г.

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

автор: TheBlue P

21 июля 2020 г.

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

автор: MD M R S

3 мая 2020 г.

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

автор: Alex K

22 дек. 2020 г.

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

автор: Jay

28 июня 2020 г.

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

автор: Abbas A K

1 июля 2020 г.

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

автор: Srinadh R B

5 июля 2020 г.

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

автор: Josh B

16 дек. 2020 г.

They started diving deeper towards the end of the course.