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Deep Learning Methods for Healthcare
This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.
The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | This course is designed for 4 weeks, but it can be stretched out by the learner as needed. |
Starts | Jul 3 (43 weeks ago) |
Cost | $79 |
From | University of Illinois at Urbana-Champaign via Coursera |
Instructor | Jimeng Sun |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Algorithms Machine Learning |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | This course is designed for 4 weeks, but it can be stretched out by the learner as needed. |
Starts | Jul 3 (43 weeks ago) |
Cost | $79 |
From | University of Illinois at Urbana-Champaign via Coursera |
Instructor | Jimeng Sun |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Algorithms Machine Learning |
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