Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles.
Fundamentals of Machine Learning for Healthcare
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Fundamentals of Machine Learning for Healthcare
This course is part of AI in Healthcare Specialization
Instructors: Matthew Lungren
39,229 already enrolled
Gain insight into a topic and learn the fundamentals.
630 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
96%
Most learners liked this course
What you'll learn
Define important relationships between the fields of machine learning, biostatistics, and traditional computer programming.
Learn about advanced neural network architectures for tasks ranging from text classification to object detection and segmentation.
Learn important approaches for leveraging data to train, validate, and test machine learning models.
Understand how dynamic medical practice and discontinuous timelines impact clinical machine learning application development and deployment.
Skills you'll gain
- Medical Science and Research
- Healthcare Ethics
- Health Informatics
- Data Ethics
- Machine Learning Methods
- Deep Learning
- Artificial Neural Networks
- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
- Responsible AI
- Supervised Learning
- Applied Machine Learning
- Machine Learning
- Statistical Machine Learning
- Model Training
- Model Evaluation
- Reinforcement Learning
- Generative Model Architectures
- Health Policy
- Healthcare Industry Knowledge
Details to know
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Assessments
19 assignments
Taught in English
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This course is part of the AI in Healthcare Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 8 modules in this course
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Instructors
Instructor ratings
(216 ratings)Offered by
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Cleveland Clinic
Northeastern University
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Showing 3 of 630
GM
Reviewed on Nov 11, 2020
Completing this course has given me a solid foundation and confidence to engage at a deeper level with AIML in health, both as a student and exponent thereof.
KK
Reviewed on Feb 5, 2021
The course was inspiring and useful for a future career! Congratulations to Professor Matthew Lungren and Assistant Professor Serena Yeung! :)
SM
Reviewed on Sep 21, 2021
the quality of videos was great. week 4 till week 7 have some hard to learn problems, it is better to make it more clear and easier to understand.
