Big data and statistics for the engineer

Supervised and unsupervised analysis for high dimensinal data

Big data and statistics for the engineer

Supervised and unsupervised analysis for high dimensinal data

Overview

The DU BDSI 2019 is designed to fit with graduated and senior students who desire to keep on touch with forehead methods on big data and statistics for engineers.

Current Course

  • What are supervised and unsupervised methods ?

  • What are PCA, tSNE and UMAP. How can they be interpretable, pros and cons ?

  • What are the Lasso and the logistic regression, what is PLS and how those methods can be integrated in a single one ?

  • Three applications

    • Ebola rVSV vaccine

    • Meat tenderness

    • Venous thrombosis

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Hadrien Lorenzo
PhD student in Biostatistics

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