Articles by Detroit Data Lab

R Companion to Linear Algebra Step by Step, part 2

June 7, 2019 | Detroit Data Lab

In the remaining sections of this chapter, we go further with matrices, finally getting into transpose and inverse, homogeneous versus non-homogeneous systems, and solutions to these systems. A quick reminder this is the R companion series to the book Linear Algebra: Step by Step, by Kuldeep Singh. As the series ... [Read more...]

R Companion to Linear Algebra Step by Step, part 1

May 25, 2019 | Detroit Data Lab

Linear Algebra: Step by Step, by Kuldeep Singh, is a tremendous resource for improving your skills in the fundamental mathematics behind machine learning. I’m authoring an R companion series to ensure that this can be translated to make sense to R programmers, and reduce the legwork for translating core ... [Read more...]

Marketing with Machine Learning: Apriori

April 29, 2019 | Detroit Data Lab

This is part 1 of an ongoing series, introduced in Detroit Data Lab Presents: Marketing with Machine Learning Introduction Apriori, from the latin “a priori” means “from the earlier.” As with many of our predictions, we’re learning from the past and applying it toward the future. It’s the “Hello ...
[Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)