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.
Este curso forma parte de Programa especializado: AI in Healthcare
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Qué aprenderás
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.
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Programa - Qué aprenderás en este curso
Why machine learning in healthcare?
Concepts and Principles of machine learning in healthcare part 1
Concepts and Principles of machine learning in healthcare part 2
Evaluation and Metrics for machine learning in healthcare
Reseñas
- 5 stars82,15 %
- 4 stars15,24 %
- 3 stars2,23 %
- 2 stars0,37 %
Principales reseñas sobre FUNDAMENTALS OF MACHINE LEARNING FOR HEALTHCARE
it is a really good course for learning ML but some of the videos are a bit hard to fully understand
the was very interesting course ,I share a lot of experience and knowledge form the course thank you
Nicely Framed and Executed in a simple language so anyone can catch up earliest.
Excellent introductory course to understand Machine Learning in the context of Healthcare delivery
Acerca de Programa especializado: AI in Healthcare

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Is this activity accredited for Continuing Medical Education (CME)?
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