This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, and many more. To keep receiving these articles, …Continue
Added by Vincent Granville on September 1, 2019 at 9:30am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.
Featured Resources and Technical…Continue
Added by Vincent Granville on September 1, 2019 at 6:30am — No Comments
The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP (C++ integration of R). To see a bigger picture, I apply the Python for-loop additionally. The comparison focuses on the runtime for non-costly tasks with different numbers of iterations. For comparison purpose I create vectors in the form of (R syntax):
Vector <- 1:k
k = (1.000, 100.000, 1.000.000)
The task is to…Continue
You’ve spent countless hours preparing a great executive dashboard for your organization. After a few months, you realize that no one is using it.
While you don’t receive any complaints about the dashboard, you also don’t receive any praise. It may feel like a literal gut punch when you went to great efforts to deliver what the organization said was needed.
You should be concerned when no one is complaining or…Continue
Added by Tricia Aanderud on September 1, 2019 at 3:00am — No Comments