# Articles by Detroit Data Lab

### 4 for 4.0.0 – Four Useful New Features in R 4.0.0

April 28, 2020 |

With the release of R 4.0.0 upon us, let’s take a moment to understand a few parts of the release that are worth knowing about. list2DF Function This is a new utility that will convert your lists to a data frame. It’s very friendly, in the sense that ...

### R Companion to Linear Algebra Step by Step, Chapter 2 section 3

November 23, 2019 |

Chapter 2 section 3 covers Linear independence. In this post, I’ll continue writing R code to accompany linear algebra equations found in Linear Algebra: Step by Step, by Kuldeep Singh. For more information on the origins of these posts, see the first companion post Section 2.3 – Linear Independence To detect linear dependence ... [Read more...]

### R Companion to Linear Algebra Step by Step, Chapter 2 part 1

September 7, 2019 |

In this post, I’ll continue writing R code to accompany linear algebra equations found in Linear Algebra: Step by Step, by Kuldeep Singh. For more information on the origins of these posts, see the first companion post Thank to you everyone who hung out throughout the brief hiatus, while ... [Read more...]

### R Companion to Linear Algebra Step by Step, part 2

June 7, 2019 |

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 |

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 |

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 ...