# A primer on universal function approximation with deep learning (in Torch and R)

Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …

Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …

Math puzzles always tickle the brain, and this one has tickled quite a few on LinkedIn. Why are these puzzles …

The latest update of my book includes a chapter on lists. This chapter explores the list data type and how …

Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is …

This chapter is on what I call fold-vectorization. In some languages, it’s called reduce, though the concept is the same. …

Chapter 7 of Cherney, Denton, and Waldron begins by introducing the concept of a basis. The essence of a basis …

It’s a fact of life that we age. As we age, the more we wish we didn’t. What if I …

Like many concepts in mathematics, linearity has multiple interpretations and meanings. What do we mean when we say something is …

For question 1.4.6 of Cherney, Denton, and Waldron, there is a question about how matrix multiplication works. Indeed, part (b) …

I’m pleased to announce that a rewrite of my first chapter of “Modeling Data With Functional Programming In R” is …