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Отзывы учащихся о курсе AI for Medical Diagnosis от партнера

Оценки: 1,798

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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76–100 из 377 отзывов о курсе AI for Medical Diagnosis

автор: Sagar P

27 апр. 2020 г.

Great course for implementing the concept of AI in the Medical Sector, with the proper guidance of the evaluation of a model for measuring the performance of the model.

автор: VIJAY K V

18 сент. 2020 г.

I absolutely enjoyed going through this course. Pranav and his team did a very good job in explaining the key concepts in how AI is being used for medical diagnosis.

автор: Yashovardhan S

26 июля 2020 г.

Such a great course on the cutting edge technology application with medical diagnosis. I would recommend every deep learning practitioner to enhance their knowledge.

автор: Adam M

24 дек. 2020 г.

The material is important, and the videos were clear and simple. The assignments could be cleaned from their bulky print statements, but that is an aesthetic qualm.

автор: D J R K

21 окт. 2020 г.

The course videos are excellent and the best part of the course is in-depth assignments which are really helpful in correlating the contents of the course videos.

автор: Marwa A E

28 мая 2020 г.

Amazing Course, the exercises are abit hard and not that completely explained in the examples but overall, I'd recommend this course aloooot.

Thank you so much :)

автор: André C A

22 февр. 2021 г.

Without any doubt, it is an important course for those who want to learn more about AI applications in Medical Diagnosis. The course is also well structured.

автор: Lakshmana P

3 мар. 2021 г.

Excellent content and the way the learners knowledge is evaluated is good. I got good mentor support replying my questions and resolving issues quickly

автор: Wasim A

13 мая 2020 г.

Very informative and practical. I learned so many things, It helps me to boost my confidence that I can apply these concepts in the field of medicine.

автор: Brianna R

21 мая 2020 г.

Learned so much in this short course! Great lectures, study material, and assignments. Incredibly excited for the next course in this Specialization.

автор: Nitin

28 мая 2020 г.

Thanks a lot Pranav for this course, I am now able to understand the concept of sensitivity, specificity and roc like evaluation terms much better.

автор: Prashant M

29 июня 2020 г.

Excellent course... there was no course available online which dedicates AI for biomedical domain. Huge thanks to Andrew Ng and Pranav Rajapurkar

автор: Vincent L

14 сент. 2020 г.

Very interesting. A lot of notion which requieres more than 3 weeks to be "digested". I will for sure come back on it for additionnal thinking.

автор: MUSTAFA M T

7 мая 2020 г.

As a student and software developer, I really enjoyed this course. If you're interested at medical imaging and AI, you should join that course!

автор: Sawrup K

28 июня 2020 г.

This course really helps me a lot. Who wants to jump in medical image classification or disease detection, they should enroll in this course.

автор: Jay U

24 апр. 2020 г.

Excellent content. Thank you for putting this course together. Would love additional material on deep learning methods related to healthcare.

автор: Pramit D

16 дек. 2021 г.

The course is great in terms of theory and implementation of that theory. But a little more explanation in image segmentation is recommened.

автор: Mohamed Q

11 июня 2020 г.

a very well done course, the community is very helpful and the mentors are awesome, i like the events they organized throughout this course

автор: Haroon K

19 авг. 2020 г.

Great course. Prior knowledge of deep learning really help me. so i recommend to take basic deep learning course before this course.

автор: Valijon N

7 авг. 2020 г.

Buenas tardes

Me ha gustado mucho el curso, donde aprendí como funciona deep learning y como se definen los modelos de entrenamiento.

автор: Christophe K

6 февр. 2021 г.

Very good Course which add more insight in specific case of unbalance images segmentation through Deep Learning. Definitely a plus!

автор: Ajay K

6 июня 2020 г.

Learn a new methodology about image analysis of the medical dataset. I am interested to go for the next course in the same series

автор: ABIR E

10 апр. 2021 г.

Excellent, but I wanted the instructor to add an assignment or lab notebook on the preprocessing and preparation of DICOM images

автор: Le N T

11 мая 2020 г.

In my option, this is such a very good online course about AI for Medical Diagnosis. Although still some difficulties in coding.

автор: Jay H

24 авг. 2021 г.

It was very helpful for me as a beginner to learn. I gained confidence and comfortability in AI in Medicine after this course.