Big Data in NHS

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This consists of 1) (90%) An individual presentation on a specific application area of Big Data, aimed at an audience of advanced database students. You should submit your slides and supporting notes through Blackboard. The presentation will be delivered in class and should be 15 minutes long, followed by 5 minutes for questions. It should include (but not be limited to) the following: • The background to Big Data use within the application area • What are the sources of data? How is it collected and managed? Are there any problems/issues with the data collection? • How is the data being processed? What technologies are used? What outputs? • How has the use of Big Data impacted on the application area? What are the likely future developments/changes to the use of Big Data in this area? 2) (10%) A peer assessment exercise: You are required to submit feedback on each class presentation, using the attached form And i want this to be done in maximum 10 hours

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@ameenulhaq66

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@Softeria

I have done MS Software Engineering. I had a course on DATA ENGINEERING/BIG DATA and Artificial Intelligence . I know all data mining techniques (Predication & Classification) and data analysis techniques. I have worked on K-mean, ID3, Bayesian theorem, confusion matrix, Hungarian algo and so on .My research was on Rough Set Theory. Tools I uses are Weka, Matlab, RapiMiner, SPSS,Java, R programming and Excel . Please see my profile and reviews as well. Thanks

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@suyashdhoot

Hi I am a very experienced statistician and academic writer. I have completed several pHD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

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@nilejaringa

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