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Definitely worth a read by Prof. Norman Matloff

 

My posting about the statistics profession losing ground to computer science drew many comments, not only here in Mad (Data) Scientist, but also in the co-posting at Revolution Analytics, and in Slashdot.  One of the themes in those comments was that Statistics Departments are out of touch and have failed to modernize their curricula.  Though I may disagree with the commenters’ definitions of “modern,” I have in fact long felt that there are indeed serious problems in statistics curricula…

Source: Why Are We Still Teaching t-Tests? | Mad (Data) Scientist

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  Posts

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November 23rd, 2016

#ggforce for accelerating #ggplot2 in #dataviz

November 20th, 2016

November 16th, 2016

ggplot2 2.2.0 #dataviz #R #datascience @rstudio

November 16th, 2016

ggedit add-on for #ggplot2 #dataviz #R #datascience

August 27th, 2016

#R Packages for #Data Access

August 16th, 2016

Getting Your Colleagues Hooked on #R

August 14th, 2016

Convolutional #neuralnetwork in #R (MXNet package) #MachineLearning #DataScience

June 3rd, 2016

Mad Hatter Explains Support Vector Machines #scicomm #machinelearning #SVM #datascience

May 11th, 2016

What’s the difference between machine learning, statistics, and data mining?

April 6th, 2016

Plotter app for interactive plotting of ggplots, on shinyapps.io or locally.