Probabilistic Learning

Probably Learning

[Alex @AppearingBlock]

Hello, and welcome to a thread I wrote as an assignment for my Probabilistic Learning and Reasoning class! I’ll be using it to explain the Markov Chain Monte Carlo method for sampling from a probability distribution.

[Matthew Choi @matt_choi_cs]

In machine learning, we are interested in calculating the expectation value of some function f. However, in high dimensions, regions with high density, p(x) do not necessarily contribute much to this expectation.

[morgensh @morgensh1]

@ProbablyLearn just published an accessible intro to algorithmic sampling using the Metropolis Hastings approach you taught us in lecture :) https://t.co/eVRFVVC6OE

[sidgupta @gupta_sid1]

Hi all, I recently made a video about machine learning fairness, and how we can mitigate biases in data using adversarial learning! https://t.co/xEKz0RqWRb

@ProbablyLearn

[Abhishek Moturu @AbhishekMoturu]

GAN memes uwu @ProbablyLearn

[moved over to bluesky @SHussainAther]

@jessebett Here's a project I whipped up for the #SciComm component of the course! It's about how Pac-Man can explain how Hidden Markov Models are used in studying protein structure. https://t.co/XQc1o9pFrz

#sciencecommunication #DNA #PacMan #DNAPacMan #genomics #bioinformatics