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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung AI in Healthcare
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Über diesen Kurs
Was Sie lernen werden
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
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
Bewertungen
- 5 stars82,60 %
- 4 stars14,85 %
- 3 stars2,17 %
- 2 stars0,36 %
Top-Bewertungen von FUNDAMENTALS OF MACHINE LEARNING FOR HEALTHCARE
The course was inspiring and useful for a future career! Congratulations to Professor Matthew Lungren and Assistant Professor Serena Yeung! :)
Top quality teaching from Matthew and Serena, thank you! Engaging throughout the whole 7 weeks, best if you have some previous knowledge in ML.
Excellent introductory course to understand Machine Learning in the context of Healthcare delivery
Good course but the language needs to be simpler. Sometimes simple facts are complicated with the use of high pedigree words that don't really add much to conveying the overall message.
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