I wrote a post last year looking at how to employ tools in LangChain to have GPT-3.5 Turbo access information on the web, outside of its training data. The purpose of the present post is to revisit this post, improving the poor performance I saw there through refactoring and prompt ...

Following my previous post, I am again looking at how to employ R and Python seamlessly to use large language models (LLMs). Last time, I scraped information off of Wikipedia using the rvest package, fed that information to OpenAI’s Python API, and asked it to extract information for me. ...

I started taking photos earlier this year. And as someone who loves thinking about probability, statistics, chance, randomness, and R programming, I started thinking about ways to apply probabilistic programming to photography. This is my first attempt...

I like visual arts, but I’m moderately colorblind and thus have never been great at making my own works. When I’m plotting data and need colors, my standard procedure is having a website generate me a color palette or finding a visually pleasing one so...

One of the main assumptions of linear regression taught in statistics courses is that of “constant variance” or “homoscedasticity.” Having data that do not have constant variance (i.e., are heteroscedastic) is then often treated as a problem—a nuisance that violates our assumptions and, among other things, produces inaccurate ...

I set out to do two things with this post: Show how one can use workflowsets in the tidymodels context to compare different pre-processing and model types against one another. Until recently, there wasn’t a unified way to do this in the R ecosystem. So, I wanted to give ...

This week was the week of April 14th, the date that shares the (French) name of Aphex Twin’s most well-known work, “Avril 14th.” I have known about Aphex Twin since maybe middle school or so, but I only first really listened in earnest after hearing “Avril 14th” as the ...

Simulating data is an invaluable tool. I use simulations to conduct power analyses, probe how robust methods are to violating assumptions, and examine how different methods handle different types of data. If I’m learning something new or writing a model from scratch, I’ll simulate data so that I ...

Simulating data is an invaluable tool. I use simulations to conduct power analyses, probe how robust methods are to violating assumptions, and examine how different methods handle different types of data. If I’m learning something new or writing a mode...

Welcome from Part 1, where I talked mainly about methods; Part 2, where I discussed the three major types of Star Wars fans; Part 3, where I discussed sexism and political attitudes; and Part 4, where I discussed age and nostalgia. In this part, I will focus on age and nostalgia. As always, email ...

Welcome from Part 1, where I talked mainly about methods; Part 2, where I discussed the three major types of Star Wars fans; and Part 3, where I discussed sexism and political attitudes. In this part, I will focus on age and nostalgia. As always, email sw.survey.2019@gmail.com with questions about ...