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LIDA Data Scientist Intern Seminar

  The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. The seminar will be held in 8.43Y, Worsley Building, at 15.30 on Thursday 21st February. This seminar will consist of five ten minute presentations from our current LIDA Data Scientist interns. Agenda 15.30 Understanding...

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Dealing with Variable Misclassification in the Results Section, not the Discussion Section: An Introduction to Quantitative Bias Analysis

  The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. The seminar will be held in 8.43x, Worsley Building, at 3pm on Thursday 28th February. Abstract Students of epidemiology are well versed in ways to reduce systematic...

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Developing clinical decision support tools to monitor chronic diseases using biomedical signal processing and statistical machine learning

The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. The seminar will be held in 9.59, Worsley Building at 3.30pm on Thursday 7th March. Abstract I will provide an overview of research topics I have worked over the years, with application...

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Explore locally – understand globally: Sublinear time algorithms for problems on large sparse data sets.

The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. This seminar will be held in 9.59, Worsley building. Abstract In classical complexity theory, PTIME / NP marks the dividing line between tractability and intractability. Nowadays,...

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Explore locally – understand globally: Sublinear time algorithms for problems on large sparse data sets

The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. The seminar will be held in 9.59, Worsley Building at 3.30pm on Thursday 21st March. Abstract In classical complexity theory, PTIME / NP marks the dividing line between...

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