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Отзывы учащихся о курсе AI for Medical Diagnosis от партнера

Оценки: 1,796

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!

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126–150 из 377 отзывов о курсе AI for Medical Diagnosis

автор: Jaisil R D

1 июня 2020 г.

I really loved this course!!! I learnt a lot !!! Surely this course would help me to finish my project!!

автор: Abhay S

21 мая 2020 г.

It was an amazing course and taught me how to implement deep learning concepts in the field of medicine.

автор: Léo M

29 мая 2020 г.

Awesome course! It is essential for those who want to learn about AI and it's applications in medicine.

автор: Abiodun M

19 авг. 2021 г.

It was an amazing course and it really opened my eyes to a very important aspect of medical diagnosis.

автор: Ignacio M S

1 июля 2020 г.

A great course, with many examples and excellents notebooks to learn image processing and segmentation

автор: Kiran U K

22 апр. 2020 г.

Awesome course content and exercises lab for practice was the best part. Even slack community is best.

автор: Fatemeh B

25 июля 2020 г.

This course was very useful for me . It helped me a lot in MRI segmentation task.

Thank you very much

автор: Gilles P P

16 мая 2020 г.

Really great course, so new for me, I've really learned a lot and enjoyed it.

Thanks (merci beaucoup)

автор: Ali N

21 мая 2020 г.

Important concepts of deep learning applications in medical imaging are explained is a simple way.

автор: Muneyoshi B

24 апр. 2020 г.

Not only medical diagnosis, but also I have learned to implement the Keras original loss function.

автор: Eric M B

20 сент. 2020 г.

Excellent course. My only suggestion would be some optional videos walking you through the code.

автор: Raihan A V

12 авг. 2020 г.

Excellent Course taught in pieces which makes it much easier to understand. Highly recommend it.

автор: Leandro A H T

2 сент. 2020 г.

This is one of the best online curses I have taken. Thanks a lot for all your shared knowledge!

автор: Le N T D

21 июня 2020 г.

Excellent course, I learn many tips and tricks apart from many free sources and books I found.

автор: Saurav M

5 нояб. 2020 г.

Really good course I would encourage young aspiring AI engineers to take this specialization.

автор: Krishanu B

3 апр. 2021 г.

Best Hands on Programing Exercises. Very satisfied with what I have learned fro this course.

автор: Hamed M

25 нояб. 2020 г.

The course was very good and useful.

The strength of this course is its excellent teaching.

автор: Sourish G

12 июня 2020 г.

Excellent course for those who are interested in Data Science for biomedical image analysis

автор: Matteo R

18 апр. 2020 г.

Excellent! I learned several fresh new concepts that I will use in my own research career.

автор: Alice F

6 мая 2020 г.

I enjoyed this course. The lessons are clear and the laboratories are very interesting.

автор: Agam T

24 авг. 2020 г.

I highly recommend this course to people looking to enter the AI in healthcare domain.

автор: Shweta T

10 авг. 2020 г.

My area of research is Medical Image Processing. The course helped me to learn a lot.

автор: Veeresh S

26 мая 2020 г.

It was the course I was looking for expanding my knowledge in AI HelathCare thank you

автор: Siladittya M

22 апр. 2020 г.

I needed this course. Thanks a lot. Learnt a lot and it will help a lot in my career.

автор: M. A Z

19 июня 2020 г.

Wish to learn more and hopefully instructor teach us the code step by steps as well