machine learning

traditional statistical evaluation is commonly in comparison with navigating a “Garden of Forking Paths” (Gelman and Loken). It’s a term that helps (hopefully) visualize the countless variety of analytical selections researchers must make...

. After we last spoke with you five years ago — in our very first Writer Highlight! — you were within the early stages of your PhD program in Japan. What have you ever been as...

SHAP KernelExplainer takes ~30 ms per prediction (even with a small background) A neuro-symbolic model generates explanations contained in the forward pass in 0.9 ms That’s a 33× speedup with deterministic outputs Fraud recall...

is the brand new “hot” role within the tech scene, and lots of individuals are eager to land this job. I see so many posts online saying how you'll be able to turn out...

has been in production two months. Accuracy is 92.9%. Then transaction patterns shift quietly. By the point your dashboard turns red, accuracy has collapsed to 44.6%. Retraining takes six hours—and wishes labeled data you won’t have...

research has essentially transitioned to handling large data sets. Large-scale Earth System Models (ESMs) and reanalysis products like CMIP6 and ERA5 are not any longer mere repositories of scientific data but are massive...

. I ship content across multiple domains and have too many things vying for my attention: a homelab, infrastructure monitoring, smart home devices, a technical writing pipeline, a book project, home automation, and a...

1. Introduction have a model. You've got a single GPU. Training takes 72 hours. You requisition a second machine with 4 more GPUs — and now you would like your code to truly use...