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Introduction to Data Science Data Mining for Business ...

VP – DATA SCIENCE, DSTILLERY ADJUNCT PROFESSOR, NYU FALL 2014 Introduction to Data Science Data Mining for Business Analytics Fine Print: these slides are, and always will be a work in progress. The material presented herein is original, inspired, or borrowed from others’ worl. Where possible, attribution and

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Introduction to Data Science/ Data Mining for Business ...

cds.nyu.edu

Introduction to Data Science/ Data Mining for Business Analytics Fine Print: these slides are, and always will be a work in progress. The material presented herein is original, inspired, or borrowed from others’ worl. Where possible, attribution and

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Covariance matrix - New York University Center for Data ...

cds.nyu.edu

Example 1.9 (Canadian cities). We consider a dataset which contains the locations (latitude and longitude) of major cities in Canada(so d= 2 in this case). Figure1shows a scatterplot of the data. The sample covariance matrix is X = " 524:9 59:8 59:8 53:7 #: (28) The latitudes have much higher variance than the longitudes. Latitude and longitude ...

  Matrix, Major, Cities, Altitude, Covariance, Latitude and longitude, Longitude, Covariance matrix, Major cities

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