Visit statmodeling.stat.columbia.edu → On Hacker News Jun 2019 – Sep 2026
Math & Algorithms 24Society, Policy & Culture 22Science & Space 13Databases & Data 13AI & Machine Learning 7Career & Management 6
Geoffrey Hinton is a legendary computer scientist . . . Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the…
A few months ago, Smith wrote an AI-skeptical article where he threw some sentences at the GPT-3, a text processor from Open AI. As wikipedia puts it:
I wanted to share the attached paper on choice prediction that I recently co-authored with Itamar Simonson in case it’s of interest.
“People say, It’s just glorified autocomplete . . . Now, let’s analyze that. Suppose you want to be really good at predicting the next word. If you want to be really good, you have to understand what’s being said. That’s the only way. So by training something to be really good at predicting the next word, you’re…
The above is the title of a talk by computer scientist Cynthia Rudin. here’s the abstract:
In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.”
My colleagues and I are disagreeing on the differentiation between machine learning and Bayesian statistical approaches. I find them philosophically distinct, but there are some in our group who would like to lump them together as both examples of machine learning. I have been favoring a definition for Bayesian…