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
Fundamentals of Machine Learning for Healthcare
This course is part of AI in Healthcare Specialization
Instructors: Matthew Lungren
38,875 already enrolled
Gain insight into a topic and learn the fundamentals.
625 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
- Machine Learning
- Health Informatics
- Machine Learning Algorithms
- Responsible AI
- Machine Learning Methods
- Data Ethics
- Statistical Machine Learning
- Applied Machine Learning
- Supervised Learning
- Model Training
- Reinforcement Learning
- Healthcare Industry Knowledge
- Generative Model Architectures
- Healthcare Ethics
- Health Policy
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Model Evaluation
- Medical Science and Research
- Artificial Neural Networks
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.
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There are 8 modules in this course
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Showing 3 of 625
EG
Reviewed on Feb 25, 2021
Would have been helpful to go through all stages of a model development top show how things tie together. Otherwise well done.
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 Aug 31, 2023
Mathew and Serena are excellent. I enjoyed the module. The subject matter is very dense but made palatable by these two experts. Thanks and kudos to them!
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