Benchmarking runtime is different in SAS compared to other programs, where you have to request the system time before and after the code you want to time and use variables to do subtraction, as I demonstrate in this blog post.
End-to-end AI pipelines are being created routinely in industry, and one complaint is that academics can only contribute to one component of the pipeline. Really? Read my blog post for an alternative viewpoint!
Referring to columns in R can be done using both number and field name syntax. Although field name syntax is easier to use in programming, my blog demonstrates how you can use column numbers to make automation easier.
“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!
Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.