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
38,327 already enrolled
Gain insight into a topic and learn the fundamentals.
621 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
- Deep Learning
- Healthcare Industry Knowledge
- Model Evaluation
- Health Policy
- Responsible AI
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Reinforcement Learning
- Healthcare Ethics
- Machine Learning
- Data Preprocessing
- Convolutional Neural Networks
- Applied Machine Learning
- Machine Learning Algorithms
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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Instructors
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Showing 3 of 621
VL
Reviewed on Sep 10, 2023
Delivered all it promises. Fast paces and geared to people with lots of ML knowledge. Thank you.Muchas gracias.Valdez Ladd
LS
Reviewed on Sep 26, 2020
Interesting and well crafted, it is mostly at an introductory level, but accurate and with many details regarding how to apply ML to healthcare. Worth to follow.
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.
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