Difference between revisions of "User:Rm338"
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[https://jbhi.embs.org/2015/07/08/special-issue-big-data-for-health/ Special Issue: Big Data for Health], R. Atun, Y. Lussier, C. Poon, S.T.C. Wong, G.-Z. Yang, Journal of Biomedical and Health Informatics, 8 July 2015, accessed 18 September 2017 (Health Informatics) | [https://jbhi.embs.org/2015/07/08/special-issue-big-data-for-health/ Special Issue: Big Data for Health], R. Atun, Y. Lussier, C. Poon, S.T.C. Wong, G.-Z. Yang, Journal of Biomedical and Health Informatics, 8 July 2015, accessed 18 September 2017 (Health Informatics) | ||
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HW 2: | HW 2: | ||
My favorite matlab demonstration is the 3-D plot one. I like it because it shows the value and power of matlab as a program that can help us visualize data efficiently and clearly. The advantage of being able to produce such diplays with matlab, in lieu of envisioning them in 2-D space, can facilitate enormously our understanding of data in various fields of engineering and our ability to manipulate and interpret it to solve real world problems. | My favorite matlab demonstration is the 3-D plot one. I like it because it shows the value and power of matlab as a program that can help us visualize data efficiently and clearly. The advantage of being able to produce such diplays with matlab, in lieu of envisioning them in 2-D space, can facilitate enormously our understanding of data in various fields of engineering and our ability to manipulate and interpret it to solve real world problems. | ||
Revision as of 04:59, 22 September 2017
Hello!Go Duke!
HW 1: Special Issue: Big Data for Health, R. Atun, Y. Lussier, C. Poon, S.T.C. Wong, G.-Z. Yang, Journal of Biomedical and Health Informatics, 8 July 2015, accessed 18 September 2017 (Health Informatics)
Section
HW 2: My favorite matlab demonstration is the 3-D plot one. I like it because it shows the value and power of matlab as a program that can help us visualize data efficiently and clearly. The advantage of being able to produce such diplays with matlab, in lieu of envisioning them in 2-D space, can facilitate enormously our understanding of data in various fields of engineering and our ability to manipulate and interpret it to solve real world problems.
