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 +1 more
40,277 already enrolled
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Gain insight into a topic and learn the fundamentals.
640 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
- Category: Data Ethics
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Responsible AI
- Category: Medical Science and Research
- Category: Machine Learning
- Category: Healthcare Ethics
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Generative Model Architectures
Details to know
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Assessments
19 assignments
Taught in English
Build your subject-matter expertise
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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- 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
(217 ratings)Matthew Lungren
Stanford Online
2 Courses49,912 learners
Serena Yeung
Stanford Online
2 Courses49,912 learners
Offered by
Stanford Online
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Showing 3 of 640
PC
Reviewed on Nov 9, 2023
This is an excellent course for anyone in healthcare who is trying to learn and understand clinical machine learning.
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!
MM
Reviewed on Oct 7, 2020
An excellent course for professionals with healthcare background, specially for those who want to test the water before diving deep into AI in Healthcare.