April 27, 2024, 1:06 a.m. | /u/bouncyprojector

Machine Learning www.reddit.com

[https://lunaverus.com/programLikelihoods](https://lunaverus.com/programLikelihoods)

> There is a neat way to frame unsupervised learning as likelihood maximization, but not in the usual way where you just compute the likelihood of the data using a model and ignore the likelihood of the model itself. Rather, this is the combined likelihood of model and data...

Does it make sense to talk about the probabilities of ML models?

compute data likelihood machinelearning sense talk unsupervised unsupervised learning

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US