My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.
Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.
Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.
Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.
Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.
Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.
My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.
My track record of posting here has been pretty poor in 2020, partly because of a bunch of content I’ve contributed elsewhere. In general, my guiding principle for posting is to only add stuff I’d want to read or cite, e.g., because I haven’t seen it discussed elsewhere. Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself....
Previously, I encouraged readers to test different approaches to bootstrapped confidence interval (CI) estimation. Such testing can done by relying on the definition of CIs: Given an infinite number of independent samples from the same population, we expect a ci_level CI to contain the population parameter in exactly ci_level percent of the samples. Therefore, we run “many” simulations (num_simulations), where each simulation generates a random sample from the same population and runs the CI algorithm on the sample....
The passage of time makes wizards of us all. Today, any dullard can make bells ring across the ocean by tapping out phone numbers, cause inanimate toys to march by barking an order, or activate remote devices by touching a wireless screen. Thomas Edison couldn’t have managed any of this at his peak—and shortly before his time, such powers would have been considered the unique realm of God. Rob Reid After On Being a data scientist can sometimes feel like a race against software innovations....