by A. Pung | Jan 7, 2026 | AI / ML
So, how do we convert a physical book to its equivalent text document? The document In 2003, my distant relative, Stanley E. Perry, published his autobiography titled, “A Yank and the Australian 9th: Surviving Washing Machine Charlie.” To my knowledge,...
by A. Pung | Apr 24, 2025 | AI / ML
Introduction Hunters and conservationists alike delight in estimating the age and health of wildlife. Since capturing and tagging animals in the wild can prove difficult, tracking the wellness of species and individuals is typically performed by analyzing trail camera...
by A. Pung | Aug 22, 2024 | AI / ML
Introduction In our tutorial on flight delay analysis, we scraped data from Kaggle. By ingesting a number of different data sources, we were able to piece together a large coherent dataset containing ~1.3M flights. Each flight in the dataset was further characterized...
by A. Pung | Aug 10, 2024 | AI / ML
Introduction Artificial Intelligence (AI) and Machine Learning (ML) have become a staple in today’s data analytics. Whether your problem lies in healthcare, fintech (finance technology), or transportation, ML provides a novel way to make predictions from large...
by A. Pung | Aug 9, 2024 | Math methods
Introduction This article is an aside from a previous article on machine learning. The dataframe used in this tutorial (flown_noNA) is derived in the previous article after ingesting multiple CSV files, combining data, and removing redundancies within the resulting...
by A. Pung | Feb 14, 2024 | Math methods
In our last discussion, we took a look at linear regressions using a marketing example centered around monthly sales. In addition to being able to fit our previous data sales, we’d also backed out a linear fit (with [math] r^2 = 0.965 [/math] that we could use...
